Alternatives to Leximancer

Semeon helps you to understand and prioritize large-scale customer, employee, and marketplace feedback data from any source, including social, reviews, and CRM data. Our platform automatically extracts multi-word concepts relevant to your data, measures sentiment, and generates insightful dashboards. Semeon technology is available in more than 10 languages. Government entities, security and defense agencies, brands, and organizations around the globe rely on it to improve customer experience, citizens' lives, reduce operational costs, and drive growth.

Leverage advanced machine learning techniques for thorough text analysis that can extract, interpret, and securely store textual data. With AutoML, you can create top-tier custom machine learning models effortlessly, without writing any code. Implement natural language understanding through the Natural Language API to enhance your applications. Utilize entity analysis to pinpoint and categorize various fields in documents, such as emails, chats, and social media interactions, followed by sentiment analysis to gauge customer feedback and derive actionable insights for product improvements and user experience. The Natural Language API, combined with speech-to-text capabilities, can also provide valuable insights from audio sources. Additionally, the Vision API enhances your capabilities with optical character recognition (OCR) for digitizing scanned documents. The Translation API further enables sentiment understanding across diverse languages. With custom entity extraction, you can identify specialized entities within your documents that may not be recognized by standard models, saving both time and resources on manual processing. Ultimately, you can train your own high-quality machine learning models to effectively classify, extract, and assess sentiment, making your analysis more targeted and efficient. This comprehensive approach ensures a robust understanding of textual and audio data, empowering businesses with deeper insights.

Canvs AI is an insight platform that transforms open-ended texts from surveys, social media and transcripts into conversational intelligence. It can also be used to analyze product reviews and other information such as product reviews and product reviews. Canvs is used worldwide by some of the most respected brands, research agencies, media and entertainment companies to speed up time-to-insights and deepen understanding of audience. It also reduces the cost of analysis. Automate the analysis and interpretation of open-ended text to quickly uncover consumer insights with deep emotional context and high analytical confidence. Canvs' intuitive and easy-to-use insights portal allows you to quickly explore, filter and compare your findings. You can also generate stunning data visualizations. Automate the coding of attribute, recall, and awareness questions. Quickly identify and categorize sentiments and emotions associated with respondents and responses.

The newly revamped Professional Document Analyzer utilizes cutting-edge AI Natural Language Processing (NLP) to improve content evaluation and boost readability. This latest iteration focuses on streamlining the user experience (UX) through a unified user interface (UI), offering improved features for both document creation and management while ensuring greater flexibility and reduced complexity for all users, ranging from casual to expert. It efficiently analyzes your RFPs by identifying crucial terms such as Must, Shall, Will, along with your selected keywords and phrases, and is compatible with six different file formats. Users can effortlessly generate a Compliance Matrix in just two clicks, either in an Excel template or a Microsoft Word document. The Analysis Results panel allows for extensive manipulation of findings, including options to split, combine, annotate, and filter the data. Furthermore, sharing your Compliance Matrix and reports is also a simple process that only requires two clicks. This makes the tool not only powerful but also incredibly user-friendly for all types of document analysis.

Many business operations generate a substantial volume of documents, leading to challenges in tracking and locating relevant information related to specific documents, contexts, or phrases. Luma7 addresses these challenges by automatically creating links between documents without relying on keywords, metadata, or tags. Our sophisticated algorithms analyze the text within each document to uncover all potential relationships, revealing the connections that exist between various documents. This system streamlines the management of produced documents, facilitates the linking of multiple documentation sources, and ensures automatic link generation across numerous documents. Additionally, it establishes relationships between concepts and documents, offers automated tagging that includes relevant keywords absent from the text, and implements connection processes across the entire archive of articles. Furthermore, it features entity recognition spanning multiple documents and supports various languages, enhancing its versatility and usability for diverse business needs. Ultimately, Luma7 transforms the way businesses manage their documentation by simplifying access to interconnected information.

The TextRazor API provides an efficient and precise means of uncovering the Who, What, Why, and How within your news articles. It features capabilities such as Entity Extraction, Disambiguation, and Linking, alongside Keyphrase Extraction, Automatic Topic Tagging, and Classification, supporting twelve different languages. This tool performs an in-depth analysis of your content, allowing for the extraction of Relations, Typed Dependencies between terms, and Synonyms, which empowers the development of advanced semantic applications that are context-aware. Furthermore, it enables the swift extraction of custom entities like products and companies, allowing users to create specific rules for tagging their content with personalized categories. TextRazor comprises a versatile text analysis infrastructure that can be utilized either via the cloud or through self-hosting. By integrating cutting-edge natural language processing techniques with an extensive repository of factual information, TextRazor aids in quickly deriving valuable insights from your documents, tweets, or web pages, making it an indispensable tool for content creators and analysts alike. This comprehensive approach ensures that users can maximize the effectiveness of their data processing and analysis efforts.

Transform your language data into valuable insights quickly and effortlessly, without any coding required. Join a community of over 10,000 companies, researchers, and marketers leveraging Speak to minimize manual tasks, gain a competitive edge, foster deeper customer connections, and enhance decision-making processes. Speak is equipped to support various essential organizational functions, including qualitative research, academic studies, marketing analysis, and competitive intelligence. With features that allow for seamless individual and bulk uploads of audio, video, and text data, users can easily convert audio and video files into text through automated transcription, import CSVs for comprehensive analysis, and utilize an embeddable recorder for capturing recordings. Additionally, you can create content directly within Speak or integrate with popular tools to streamline data capture. Whether dealing with customer interviews, Zoom sessions, YouTube content, podcasts, focus group discussions, Amazon reviews, tweets, or other significant qualitative feedback sources, Speak empowers users to uncover actionable insights that drive competitive advantages and inform strategic decisions. Ultimately, by harnessing the capabilities of Speak, organizations can not only improve efficiency but also enhance their understanding of customer needs and market trends.

Detect references to locations, individuals, brands, and events within various documents and social media platforms. Effortlessly gather further information regarding these entities. Categorize multilingual texts into established, predefined classifications or create a personalized classification system in just a few minutes. Assess whether the sentiment conveyed in brief texts, such as product reviews, is positive, negative, or neutral. Automatically pinpoint significant, contextually relevant concepts and key phrases in articles and social media updates. Analyze two pieces of text to determine their syntactic and semantic resemblance. Recognize when two texts pertain to the same topic. Extract clean textual content from newspapers, blogs, and other online sources, stripping away boilerplate and advertisements to obtain the full text of the article along with its images. This process not only enhances the readability of the extracted content but also ensures that the most pertinent information is highlighted.

MonkeyLearn simplifies the process of cleaning, labeling, and visualizing customer feedback by offering everything you need in one comprehensive platform, enhanced by advanced Artificial Intelligence technology. This all-in-one text analysis and data visualization solution provides immediate insights when you conduct analyses on your data. You can utilize pre-existing machine learning models or create and train your custom models without any coding. Our templates are specifically designed for various business situations and come with ready-made text analysis models and dashboards. You can pinpoint the topics and interests that are most relevant to your target audience. By leveraging precise analyses of customer sentiments and opinions, you can implement effective demand generation and sales strategies. Analyze your survey results based on requests, intent, and sentiment to gain deeper insights beyond what the survey was initially designed to capture. Moreover, this approach allows businesses to make data-driven decisions that can significantly enhance their engagement strategies.

Watson Natural Language Understanding is a cloud-native solution that leverages deep learning techniques to derive metadata from text, including entities, keywords, categories, sentiment, emotions, relationships, and syntactic structures. Delve into the topics within your data through text analysis, which enables the extraction of keywords, concepts, categories, and more. The service supports the analysis of unstructured data across over thirteen different languages. With ready-to-use machine learning models for text mining, it delivers a remarkable level of accuracy for your content. You can implement Watson Natural Language Understanding either behind your firewall or on any cloud platform of your choice. Customize Watson to grasp the specific language of your business and pull tailored insights using Watson Knowledge Studio. Your data ownership is preserved, as we prioritize the security and confidentiality of your information, ensuring that IBM will neither collect nor store your data. By employing our sophisticated natural language processing (NLP) tools, developers are equipped to process and uncover valuable insights from their unstructured data, ultimately enhancing decision-making capabilities. This innovative approach not only streamlines data analysis but also empowers organizations to harness the full potential of their information assets.

Text analysis with viztext 2D and 3D mapping text analysis topic modelling, sentiment analysis, wordcloud. Unique machine learning algorithm that visualizes topics in the text you are trying to find. Text analysis allows topic modeling with navigation through 2D/3D maps. This framework uses referential features to create logical relational topic analyses using zoom-in/zoom-out features on 2D/ 3D maps, including colorful word clouds. Analyzes the sentiment level in the text using a pie chart that shows the ratio of positive, neutral and negative. Graphs highlight the top entities in the text by displaying percentages and highlights. Drag and drop, upload text files or paste text from social media posts. Or enter the HTTP address to find a website that contains the text article you wish to analyze.

Komprehend AI offers an extensive range of document classification and NLP APIs designed specifically for software developers. Our advanced NLP models leverage a vast dataset of over a billion documents, achieving top-notch accuracy in various common NLP applications, including sentiment analysis and emotion detection. Explore our free demo today to experience the effectiveness of our Text Analysis API firsthand. It consistently delivers high accuracy in real-world scenarios, extracting valuable insights from open-ended text data. Compatible with a wide range of industries, from finance to healthcare, it also supports private cloud implementations using Docker containers or on-premise deployments, ensuring your data remains secure. By adhering to GDPR compliance guidelines meticulously, we prioritize the protection of your information. Gain insights into the social sentiment surrounding your brand, product, or service by actively monitoring online discussions. Sentiment analysis involves the contextual examination of text to identify and extract subjective insights from the material, thereby enhancing your understanding of audience perceptions. Additionally, our tools allow for seamless integration into existing workflows, making it easier for developers to harness the power of NLP.

Our natural language processing technology efficiently reveals insights from vast amounts of text with an unparalleled level of accuracy in the market, while offering the adaptability to fit seamlessly into your unique business and operational workflows. You can achieve significant and consistent outcomes with this approach. A considerable number of our deployed models exceed 90% in both precision and recall, standing in stark contrast to the industry's average of 68%. This remarkable performance explains why Amenity's NLP is relied upon by major organizations across various sectors. It focuses on extracting relevant information while filtering out irrelevant noise. Our NLP processes, refines, and organizes text from millions of documents, converting them into actionable insights for your business. It assesses the context and significance of text, recognizing shifts in meaning from individual phrases to broader paragraphs. Additionally, it allows you to transform any text source into tailored industry analyses and sentiments linked to business activities, providing clarity on the reasons behind the outcomes. With a commitment to transparency, our NLP is customizable to meet your specific needs and adapt to any environment. Ultimately, this ensures you receive the insights that matter most to your business.

Atomic Intelligence offers an online platform dedicated to the automated examination of textual information. We analyze vast amounts of data, including news articles, social media posts, and regulatory documents, while identifying expressed opinions alongside references to companies, products, and various topics. Our services are invaluable to investment firms that leverage this data to enhance their proprietary trading methods, consumer goods companies aiming to gauge customer sentiment, and tech firms seeking to delegate text analysis tasks. Atomic Intelligence meticulously reviews text to uncover references to companies, products, sentiment, and numerous other aspects. Utilizing advanced natural language processing and machine learning technologies, we pinpoint significant mentions, whether they are explicitly stated or subtly implied within the content. Additionally, Atomic Intelligence is capable of handling any form of unstructured data. Users can upload documents through our web interface or API, or they can set up Atomic for automated scheduled retrieval from their preferred sources, thereby streamlining the analysis process. In this way, we empower organizations to gain deeper insights and make informed decisions based on comprehensive textual analysis.

Transform your knowledge into machine learning models to streamline text-based processes efficiently, achieving human-like quality at scale. You can create custom models from the ground up, fine-tune our premier models for your specific needs, or utilize Primer's pre-built models directly. With Primer Automate, individuals across your organization can develop and train models without needing any programming or technical background. Enhance your data with a structured intelligence layer to establish a scalable knowledge base that can analyze billions of documents in mere seconds. Quickly uncover answers to essential inquiries, keep track of updates in real-time, and effortlessly generate clear, concise reports. Process all forms of communication, including documents, emails, PDFs, text messages, and social media platforms, to extract the most relevant information. Primer Extract leverages advanced machine learning technologies to facilitate rapid and extensive data exploration. Beyond simple keyword searches, Extract also encompasses powerful features such as translation, optical character recognition (OCR), and image recognition, making it a comprehensive solution for data analysis. This allows organizations to harness the full potential of their information efficiently.

Our advanced natural language processing technology harnesses the power of AI to capture, analyze, and visualize insights from all forms of customer communication. This includes call transcriptions, chat conversations, emails, support tickets, return claims, social media interactions, and surveys, all supported in 47 languages. With Explorer, users can quickly analyze open-ended text responses in just a few minutes. Additionally, Explorer features an API that enables seamless integration of unstructured text data into your business intelligence systems. The field of employee experience focuses on analyzing and identifying the elements that contribute to employee satisfaction and motivation. Our offerings empower businesses to efficiently process, analyze, and derive meaning from vast amounts of unstructured natural language data in a fraction of the usual time. The platform is designed to be user-friendly, allowing you to create custom bots tailored to your specific business requirements without any coding knowledge necessary. You can achieve immediate efficiency improvements within just minutes of setup. Moreover, the Gavagai API provides a suite of semantic analysis tools that support 47 languages, allowing for immediate access to user-friendly endpoints. This robust capability ensures that organizations can effectively leverage insights from their data to enhance decision-making processes.

WordStat is a user-friendly and versatile text analysis application designed to facilitate the extraction of themes and trends through text mining tools, as well as to provide meticulous measurement capabilities with advanced quantitative content analysis features. It serves anyone in need of swiftly extracting and analyzing large volumes of documents for valuable insights. This software can be applied in various contexts, including the evaluation of open-ended survey responses, enhancing business intelligence, analyzing news coverage, detecting fraud, and much more. With its seamless integration with SimStat, a statistical data analysis application, QDA Miner for qualitative data analysis, and Stata, a comprehensive statistical software from StataCorp, WordStat offers unparalleled flexibility in correlating text analysis with structured data, encompassing both numerical and categorical information. Additionally, its adaptable nature makes it suitable for diverse industries and research fields, allowing users to tackle different analytical challenges effectively.

SAS Text Miner allows for the extraction of insights from a variety of text documents, revealing underlying themes and concepts. This tool effectively integrates quantitative data with unstructured text, merging text mining with conventional data mining approaches. As part of the SAS® Enterprise Miner suite, it necessitates that SAS Enterprise Miner is installed on the same system. Additionally, SAS High-Performance Text Mining can operate on either a computer grid or a single machine equipped with multiple CPUs. The text algorithms employed are designed to be multi-threaded and work in-memory, significantly enhancing both responsiveness and concurrency while minimizing input/output strain. Users can access SAS Text Miner as nodes within the SAS High-Performance Data Mining framework or utilize it through the procedures PROC HPTMINE and PROC HPTMSCORE. To quickly grasp SAS technology, individuals can benefit from courses offered by analytics professionals, ensuring they gain a comprehensive understanding of the tools available. Enhancing one’s knowledge in this area can lead to greater proficiency in data analysis and mining techniques.

NaturalText A.I. Your data can be used to get more. Discover relationships, build collections, and uncover hidden insights in documents and text-based data. NaturalText A.I. NaturalText A.I. uses artificial intelligence technology to uncover hidden data relationships. The software uses a variety of state-of-the art methods to understand context and analyze patterns to reveal insights - all in a human-readable manner. Discover hidden insights in your data It can be difficult, if not impossible, to find everything in your text data. Traditional search can only find information about a document. NaturalText A.I. on the other hand, uncovers new data within millions of documents, including patents and scientific papers. NaturalText A.I. NaturalText A.I. can help you uncover insights in your data that you are not currently seeing.

Collaborative text analytics for machine-learning and human. We offer a variety of multilingual, text mining and data science features, as well as human annotation and machine-learning capabilities. DiscoverText provides a variety of cloud-based software tools that allow users to quickly and accurately analyze large amounts of text data. Our customers use DiscoverText to sort unstructured text commonly found in market research. They also include associated metadata such as customer feedback platforms, CRMs and chats. Discover why we are ranked #1 in text, metadata, social network analysis support, and trusted by hundreds academic research groups. Machine-learning sifters can be created in just hours or minutes by crowdsourcing. We provide an API and support technical integrations to SurveyMonkey and Twitter.

Luminoso transforms unstructured text data to business-critical insights. We empower organizations to interpret and act on the information people give us by using common-sense artificial intelligence. Luminoso requires little setup, maintenance or training. It also doesn't require any data input. Luminoso combines the world's best natural language understanding technology with a vast knowledgebase to learn words from context - just like humans - and accurately analyze text in minutes instead of months. Our software offers native support in more than a dozen languages so leaders can quickly explore data relationships, make sense out of feedback, and triage queries to drive value. Luminoso, a privately held company, is headquartered in Boston MA.

Deep Talk provides a rapid solution for converting text from various sources such as chats, emails, surveys, reviews, and social media into actionable business intelligence. Our user-friendly AI platform allows you to delve into customer communications effortlessly. Utilizing unsupervised deep learning models, we analyze your unstructured text data to uncover valuable insights. Our specialized "Deepers" are pre-trained deep learning models designed for customized detection within your information. With the "Deepers" API, you can perform real-time text analysis and tag conversations or text effectively. This enables you to connect with individuals who are interested in your product, seek new features, or voice their concerns. Furthermore, Deep Talk delivers cloud-based deep learning models as a service, making it simple for users to upload their data or integrate with supported services. By doing so, you can extract comprehensive insights and valuable information from platforms like WhatsApp, chat discussions, emails, surveys, and social networks. This transformative approach ensures that your business can stay ahead by understanding customer needs and sentiments with ease.

Our platform for comparative text analysis, rooted in a commitment to online child safety, helps unlock significant business insights from your existing text data. Relative Insight’s innovative technology empowers marketing professionals and brand experts to enhance the value derived from their text resources. By employing a comparative methodology, we facilitate the rapid generation of in-depth audience insights at scale, enriching your qualitative analysis with a level of sophistication and rigor. With these unique marketing insights, brands have the potential to refine their communications, optimize brand positioning, and create more impactful campaigns. Our platform streamlines the process of interpreting and leveraging unstructured data, significantly cutting down your analysis time. Additionally, this methodology is applicable to a variety of primary research formats, including interviews, focus groups, and videos, revealing the wealth of data you may not even realize you have. Relative Insight also allows for direct comparisons of your brand messaging with that of your competitors, ensuring you remain competitive in your market. By exploring these insights, brands can better connect with their audiences and drive engagement.

Kimola Cognitive is a highly reliable Machine Learning Platform that empowers individuals to automatically extract reviews from over 20 different channels and analyze and categorize customer feedback or any other textual data. These are the top features of Kimola Cognitive: Gather reviews by scraping the web Conduct text analysis and entity recognition with drag and drop Analyze data with ready-made models found on the Kimola Cognitive Gallery Create, train, and store custom machine learning models without coding Generate executive summaries, SWOT analyses, and other impactful marketing materials utilizing GPT Integration Accessible in six languages and increasing

Explore the capabilities of text analytics and NLP software libraries that can be deployed on-premise or integrated seamlessly into your systems. You can incorporate Salience into your enterprise business intelligence framework or even customize it for your own data analytics solutions. With the ability to handle up to 200 tweets per second, Salience efficiently scales from individual cores to extensive data center infrastructures while maintaining a compact memory footprint. Choose from Java, Python, or .NET/C# bindings for user-friendly integration, or opt for the native C/C++ interface to achieve peak performance. Gain comprehensive control over the foundational technology, allowing you to fine-tune every aspect of text analytics and NLP functions, including tokenization, part of speech tagging, sentiment analysis, categorization, and thematic exploration. The platform is designed around a pipeline model consisting of NLP rules and machine learning algorithms, enabling you to pinpoint issues in the process easily. You can modify specific features without affecting the overall system's integrity. Moreover, Salience operates entirely on your own servers while remaining adaptable enough to transfer non-sensitive data to cloud environments, offering both security and versatility for your analytics needs. This flexibility empowers organizations to leverage advanced analytics features while ensuring data privacy and performance efficiency.

The Etuma text analysis service transforms your open-ended customer feedback into reliable and actionable insights. When you receive large volumes of open-text comments from various sources, it becomes challenging to systematically convert them into timely and useful information. The manual process of reading and categorizing each comment proves to be slow, costly, and lacks consistency. While you may have explored keyword analysis, it often fails to yield statistically significant or actionable insights. Furthermore, feedback collected from different processes and channels tends to remain segregated, causing valuable information to be trapped within organizational silos, accessible only to a select few. Etuma offers existing integrations with numerous survey, customer experience management, and contact center platforms, while also allowing you to link any spontaneous feedback channels such as email or web forms, ensuring that every piece of feedback can be effectively utilized. By leveraging this service, you can enhance your understanding of customer sentiment and improve decision-making across your organization.

Incorporate our advanced text analytics APIs to infuse your product, platform, or application with state-of-the-art natural language processing capabilities. Boasting the most comprehensive NLP feature set available, our technology has been refined over 19 years and is continually updated with new libraries, configurations, and models. You can assess whether a written piece conveys a positive, negative, or neutral sentiment, as well as sort and categorize documents into tailored groups. Additionally, our system can identify the expressed intentions of customers and reviewers, and extract pertinent information such as people, locations, dates, companies, products, jobs, and titles. You have the flexibility to deploy our text analytics and NLP solutions across a variety of infrastructures, including on-premise, private cloud, hybrid cloud, and public cloud environments. Our foundational software libraries for text analytics and natural language processing are fully accessible and at your service. This offering is especially advantageous for data scientists and architects who seek unrestricted access to the core technology or require on-premise deployment to maintain security and privacy standards. Ultimately, our innovative solutions empower you to harness the full potential of language data effectively.

Repustate is an AI-powered semantic search, sentiment analytics and text analysis platform that provides world-class AI-powered data mining for organizations worldwide. It allows businesses to analyze terabytes and uncover valuable, actionable business insights. Repustate offers continuous deep dives into complex, integrated data across all industries, from our respected clients in the Healthcare sector to leaders in Education, Banking, Governance. Our solution drives sentiment analysis, text analytics, Voice of Customer (VOC), video content analysis (VCA), across platforms. It covers the multitude of acronyms, emojis, and slangs that supersede formal language in social media. It doesn't matter if you have data from Youtube, IGTV or Facebook, Twitter, TikTok or your own customer reviews forums, employee surveys or EHRs. You can pinpoint the most important aspects of your business.

MeaningCloud is the easiest, most cost-effective, and most cost-effective way to extract meaning from unstructured content (articles, documents, social conversations, etc.). We offer text analytics products that provide the most accurate insights possible from any content in any language. We do it both SaaS-based and on-prem. We have worked in a variety of industries, including pharma, finance, media and retail. We develop tailored and industry-specific solutions. Our scenarios include: * Insight extraction * Analysis of the voice and opinions of the customer, employee or citizen. (User experience analytics and customer experience analytics in general. * Intelligent document automation Our APIs are free to use (20,000 API calls per year). Get our add-ins for Excel or Google sheets. Our integrations with Dataiku RapidMiner, Automation Anywhere, and Automation Anywhere as well as our SDKs (PHP, Python, Java and JavaScript) are available.

At the crossroads of Customer Experience and Business Intelligence lies Customer Intelligence, which uncovers the vital link between customer sentiments and the performance metrics that influence business outcomes. With Explore, you can harness the insights necessary for your organization to make significant and informed decisions. Your collection of customer opinions and emotions captured through feedback, surveys, and support interactions can be effectively utilized in OdinExplore for broader analysis. By investigating the themes present in customer feedback, you can identify which topics resonate most with your audience. Explore offers features like auto-terms, the creation of key topics, dictionary applications, and emotional sentiment analysis. You can also segment your data by various demographics, ratings, or timeframes to reveal the differences among customer groups. Running multiple experiments allows you to uncover fresh insights about diverse customer segments, products, and more, ultimately leading to more tailored business strategies. This comprehensive approach not only enhances understanding but also drives continuous improvement in customer engagement.

A complimentary software tool designed to identify the most commonly used phrases and the frequency of words, while also supporting texts in languages other than English. In addition, it provides counts for words, characters, sentences, and syllables, making it a versatile resource for language analysis. This utility can be particularly beneficial for writers, linguists, and researchers looking to enhance their understanding of text patterns.

Document processing can be complicated but it doesn't need to be. Intelligent document processing platform that can understand what you are trying to find, extract and categorize. Infinia ML uses machine-learning to quickly understand context and the relationships between words and charts. We can help you achieve your goals with our machine learning capabilities. Machine learning can help you make better business decisions. We tailor your code to your business problem, uncovering hidden insights and making accurate predictions to help your zero in on success. Our intelligent document processing solutions don't work by magic. They are based on decades of experience and advanced technology.

Your business can quickly identify, identify, and process only the text that is relevant to it, given the volume of content. Regardless of your business's needs, operational agility and faster decisions, obtaining customer insight or more, teXai is a Forbes-recognized text analytics company that helps you use text to propel your business forward. The powerful preprocessor engine of teXai can identify and extract objects of interest from any document in your organization's emails or text messages. It can also be used to analyze tables, emails, text messages and archives. The intelligent, customizable linguistic application recognizes text genres, groups, and similar content. It creates concise summaries to help business teams get the right context from the correct text. The text analytics software extracts key elements from your text and simplifies decision-making.

BytesView is a powerful machine learning and NLP-based text analytics tool. It can easily compile and analyze large amounts of text data from multiple sources. There are many text mining and analysis tools that can be used to extract valuable insights from unstructured texts. BytesView also offers API Services that allow you to train custom data analysis models using data specific to your company to improve accuracy and efficiency.

Dcipher Analytics offers a cutting-edge, no-code, comprehensive SaaS text analytics platform designed to empower domain experts without technical backgrounds. This innovative platform enhances the speed at which analysts can derive insights, train models, and automate their workflows. At its core, Dcipher Analytics features a distinctive architecture and a proprietary query language specifically designed to handle complex nested data structures, such as text. As a premier solution for extracting value from unstructured text data, Dcipher Analytics stands out in the market. Whether you need a versatile tool, an API for integration, or actionable insights, you've found the ideal resource. The platform allows you to analyze customer communications—like emails, reviews, and chat logs—enabling you to pinpoint issues and enhance customer satisfaction. Additionally, it helps in creating more pertinent FAQs, expediting chatbot training, and mining social media to gain insights into consumer preferences and emerging trends, thus supporting marketing and product development initiatives effectively. Overall, Dcipher Analytics transforms the way organizations leverage text data for strategic decision-making.

NetOwl TextMiner merges the acclaimed NetOwl Extractor with Elasticsearch to deliver an innovative text analytics solution. This software harnesses the full spectrum of NetOwl's functionalities, making it perfect for conducting "what if" analyses, performing discovery tasks, facilitating quick-response investigations, and carrying out thorough research. By incorporating all the text analytics features of the NetOwl Extractor—including entity extraction, relationship and event extraction, sentiment analysis, text categorization, and geotagging—TextMiner presents a comprehensive text mining platform. The results generated by the Extractor are stored within Elasticsearch, which offers a range of intelligent search and analytical capabilities. The synergy between Elasticsearch and NetOwl ensures rapid and scalable real-time text analysis suited for handling Big Data. Furthermore, the user-friendly web-based interface of TextMiner can be easily configured to accommodate various analytical needs, enabling users to swiftly access only the most valuable insights from extensive text datasets. This adaptability not only enhances usability but also allows for more tailored analysis across multiple domains.

Semantria (natural language processing) API is offered by Lexalytics, a leader in enterprise sentiment analysis and text analysis since 2004. Semantria provides multi-layered sentiment analysis, categorization and entity recognition, theme analysis as well as intention detection, summarization, and summary in an easy to integrate RESTful API package. Semantria can be customized through graphical configuration tools. It supports 24 languages and can be deployed across public, private and hybrid clouds. Semantria scales easily from single servers to entire data centres and back again to meet your processing needs. Integrate Semantria for powerful, flexible text analytics and natural word processing capabilities to cloud-based data analysis products or enterprise business intelligence infrastructure. To create a complete business intelligence platform, you can add Lexalytics storage or visualization tools to store, manage, analyze, and visualize text documents.

Your contact center represents a significant, often overlooked asset for your organization, serving as a continuous source of valuable insights from customer interactions. PrediCX is an innovative AI platform designed to harness this potential by providing predictive insights and automating processes across various communication channels to improve both customer experience and service efficiency. By leveraging AI, businesses can extract predictive insights from every interaction, regardless of the medium used, enabling tailored recommendations that drive profitability and enhance customer satisfaction. The system offers timely alerts for emerging issues, facilitates automatic coaching, and conducts quality assurance for agents throughout their engagements. Urgent inquiries and complaints can be prioritized effectively, guiding customers towards the most suitable resources. Unlike traditional methods that rely on keywords, AI in PrediCX utilizes conceptual understanding to accurately analyze incoming feedback, ensuring that no customer opinion is neglected. It automates the triage of queries from digital platforms, classifies them efficiently, supports agents in real-time, and boosts the capabilities of chatbots for improved service delivery. This approach not only streamlines operations but also fosters a culture of responsiveness and continuous improvement in customer interactions.

Amazon Textract is a sophisticated, fully managed machine learning service that goes beyond basic optical character recognition (OCR) to automatically extract text and data from scanned documents, including forms and tables. In today's fast-paced business environment, many organizations rely on either time-consuming manual data entry, which is both costly and error-prone, or on basic OCR software that requires frequent manual adjustments whenever forms are updated. To eliminate these cumbersome processes, Textract leverages advanced machine learning techniques to swiftly read and analyze various document types, delivering precise extraction of text, forms, tables, and additional data without necessitating any manual input or custom programming. By using Textract, businesses can streamline and automate their document processing tasks, allowing them to handle millions of pages in just a matter of hours, significantly enhancing operational efficiency. This shift not only saves time but also reduces the likelihood of human error, paving the way for more accurate and reliable data handling.

Amazon Comprehend is a natural language processing (NLP) tool that leverages machine learning techniques to extract insights and reveal connections within text data, and no prior machine learning knowledge is necessary to utilize it. Your unstructured data is filled with valuable insights waiting to be discovered, whether it comes from customer emails, support inquiries, product feedback, social media interactions, or even promotional content, all reflecting customer sentiments that can benefit your organization. The challenge lies in accessing this wealth of information, but machine learning excels at pinpointing specific details within extensive text, such as detecting company names in financial analyses, and it can also discern the underlying sentiment expressed in language, whether it be identifying negative feedback or recognizing positive interactions with customer service representatives, all at an unprecedented scale. By utilizing Amazon Comprehend, you can effectively tap into the hidden insights and connections present in your unstructured data, making it a powerful resource for enhancing your business strategies and decision-making processes.

PolyAnalyst, a data analysis tool, is used by large companies in many industries (Insurance Manufacturing, Finance, etc.). It uses a visual composer to simplify complex data analysis modeling instead of programming/coding. This is one of its most distinctive features. It can combine structured and poly-structured data for unified analysis (multiple-choice questions and open ended responses), and it can process text data from over 16+ languages. PolyAnalyst provides many features to meet comprehensive data analysis requirements, including the ability to load data, cleanse and prepare data for analysis, deploy machine learning and supervised analytics techniques, and create reports that non-analysts may use to uncover insights.

• Identify Themes • Illustrate Findings • Sentiment Analysis by Topic • Enhanced by Collaborative AI Caplena serves as a customer feedback platform that leverages augmented intelligence to assist market researchers, customer experience specialists, and consultants in extracting profound insights from qualitative text data. The inception of Caplena traces back to the realization by co-founders Maurice and Pascal that numerous market research agencies grappling with customer feedback encounter a common challenge: an overload of open-ended responses coupled with insufficient time to conduct thorough analyses. Since its launch in the Spring of 2018, Caplena has processed over 50 million responses, consistently adding around 120 new projects each week. Today, it stands as the preferred text analytics solution for more than 100 enterprises across over 15 nations, with notable clients including Swisscom, eBay, DHL, Coop, and Joyn, demonstrating its widespread impact and utility in the market research landscape.

Enterprises need to have the right insights to make informed decisions and serve customers. This is why silos are so common in large volumes of data, including invoices, physical contracts, applications, as well as other data. 80% of enterprise data is still unstructured and traditional methods have not been able to move the needle towards automation. This information can be used to transform the customer journey, from loan application through onboarding. Imagine if you could automatically analyze the unstructured data that entered your organization, including emails, statements, customer data, and contracts. Instabase powers solutions that drive revenue across all industries, including banking and insurance as well as healthcare and federal government. You can swap between the best deep learning models available from Instabase and the marketplace; you can also host and manage third-party models on the platform. Transform the cost base and revolutionize how you serve customers.

Scraawl is an innovative suite of analytics tools aimed at helping you derive deeper insights from your datasets. Whether your focus lies in analyzing public data, multimedia content, unstructured text, or a combination of these elements, Scraawl offers robust capabilities to elevate your analytical efforts. Utilizing advanced artificial intelligence and machine learning methodologies, Scraawl delivers actionable insights that enhance your analysis process. Our dedicated team comprises developers, researchers, and data scientists who are committed to providing state-of-the-art analytics solutions. One of our flagship offerings, Scraawl SocL®, is a user-friendly, web-based tool designed for enterprise-level PAI listening and analytics. This platform effectively uncovers, examines, and visualizes online discussions and news data, equipping users with comprehensive 360-degree evaluations. With Scraawl, you can confidently navigate and interpret the complexities of data-driven insights.

The Linguamatics I2E platform has established itself as a leader in text mining across various domains. Its flexible design enables the customization of query methods, ensuring the necessary precision and recall for specific applications while supporting enterprise-level needs. As an interactive text mining tool, I2E excels in extracting and analyzing data effectively. Leveraging advanced Natural Language Processing (NLP) technology, it is particularly adept at addressing a diverse array of inquiries, ranging from straightforward questions to those requiring complex linguistic analysis. Moreover, I2E significantly accelerates numerous research, development, and clinical workflows. Processes that once took months or were impractical with manual techniques can now be completed in a matter of hours or even minutes. Customers report that I2E achieves actionable insights at least ten times faster than conventional keyword searches, showcasing its efficiency and effectiveness. This remarkable speed and accuracy make it a valuable asset for organizations looking to enhance their data analysis capabilities.

Lettria presents a robust AI solution called GraphRAG, aimed at improving the precision and dependability of generative AI applications. By integrating the advantages of knowledge graphs with vector-based AI models, Lettria enables organizations to derive accurate answers from intricate and unstructured data sources. This platform aids in streamlining various processes such as document parsing, data model enhancement, and text classification, making it particularly beneficial for sectors including healthcare, finance, and legal. Furthermore, Lettria’s AI offerings effectively mitigate the occurrences of hallucinations in AI responses, fostering transparency and confidence in the results produced by AI systems. The innovative design of GraphRAG also allows businesses to leverage their data more effectively, paving the way for informed decision-making and strategic insights.

Medallia allows users to engage in thoughtful and systematic ways through targeted surveys that are both digital and traditional. Our easy-to-implement survey solutions will ensure that you are gathering relevant and actionable data to make measurable customer impacts. Medallia's AI technology uses machine-learning to analyze structured and unstructured customer survey data. It can uncover sentiment, predict behavior, identify commonalities, and recommend actions to improve customer experiences. Create the most effective surveys to improve customer journeys. You can quickly manage innovation and change in every aspect of your experience management program, from design to emails, questions, and translations. Medallia surveys enable you to

Emotics is an advanced emotion analytics platform that interprets text data from customer and employee feedback to deliver actionable business insights. By categorizing emotions and themes into strengths, weaknesses, opportunities, and threats, Emotics allows organizations to adopt a strategic perspective on their customer and employee experiences. It automatically generates benchmarks that provide insights into how businesses stack up against competitors while highlighting specific areas of customer experience that require enhancement or optimization. Additionally, the platform offers a proactive warning system for emotions that may trigger significant actions, helping to identify the underlying causes of emotional responses. With the ability to gauge the intensity of emotions through eight distinct emotion indexes and 24 different emotions, it effectively pinpoints which emotional factors are influencing perceptions of customer experience in either a positive or negative way. Furthermore, Emotics facilitates a comprehensive view of the customer by integrating with various tools, including NPS, CSAT, product reviews, social media data, and platforms like SurveyMonkey and Zendesk. By going beyond traditional sentiment analysis and enhancing the capabilities of NPS, Emotics positions itself as an essential tool for understanding and improving customer perception and engagement. Ultimately, the platform empowers businesses to make informed decisions backed by deep emotional insights.

Allganize offers top-notch AI solutions designed to enhance the efficiency of customer and employee support for businesses. Within just four months of implementation, companies can automate approximately 72% of their monthly support inquiries. Our AI is capable of managing straightforward customer requests, allowing support agents to focus on more challenging problems. Employees can engage in a conversational manner to seek information from various document formats. The pre-trained conversational AI chatbot is optimized for your website, streamlining customer service operations. Additionally, our intelligent search functionality swiftly extracts precise answers from any type of document. It also identifies significant keywords within documents and organizes them, yielding valuable insights. The system adeptly interprets the context of product reviews by using natural language processing to identify whether experiences are positive or negative. Furthermore, it classifies customer support conversations into predefined categories to accurately ascertain user intent and improve service delivery. This comprehensive approach not only enhances operational efficiency but also fosters a better overall experience for both customers and employees alike.

spaCy is crafted to empower users in practical applications, enabling the development of tangible products and the extraction of valuable insights. The library is mindful of your time, striving to minimize any delays in your workflow. Installation is straightforward, and the API is both intuitive and efficient to work with. spaCy is particularly adept at handling large-scale information extraction assignments. Built from the ground up using meticulously managed Cython, it ensures optimal performance. If your project requires processing vast datasets, spaCy is undoubtedly the go-to library. Since its launch in 2015, it has established itself as a benchmark in the industry, supported by a robust ecosystem. Users can select from various plugins, seamlessly integrate with machine learning frameworks, and create tailored components and workflows. It includes features for named entity recognition, part-of-speech tagging, dependency parsing, sentence segmentation, text classification, lemmatization, morphological analysis, entity linking, and much more. Its architecture allows for easy customization, which facilitates adding unique components and attributes. Moreover, it simplifies model packaging, deployment, and the overall management of workflows, making it an invaluable tool for any data-driven project.