Alternatives to Dandelion API

LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents. Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development. Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.

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.

Best-in-Market Speech-to-Text & Voice AI for Enterprises. Speechmatics delivers industry-leading Speech-to-Text and Voice AI for enterprises needing unrivaled accuracy, security, and flexibility. Our enterprise-grade APIs provide real-time and batch transcription with exceptional precision—across the widest range of languages, dialects, and accents. Powered by Foundational Speech Technology, Speechmatics supports mission-critical voice applications in media, contact centers, finance, healthcare, and more. With on-prem, cloud, and hybrid deployment, businesses maintain full control over data security while unlocking voice insights. Trusted by global leaders, Speechmatics is the top choice for best-in-class transcription and voice intelligence. 🔹 Unmatched Accuracy – Superior transcription across languages & accents 🔹 Flexible Deployment – Cloud, on-prem, and hybrid 🔹 Enterprise-Grade Security – Full data control 🔹 Real-Time & Batch Processing – Scalable transcription 🚀 Power your Speech-to-Text and Voice AI with Speechmatics today!

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.

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.

An all-encompassing domain data source provides access to website logos, company information, categorization, and additional features derived from a URL or email. Our website categorization API boasts high accuracy, allowing a straightforward search of a business to classify its sector among 385 distinct topic categories. This classification framework adheres to the IAB V2 standard and can be utilized for personalized marketing, audience segmentation, online filtering, and various other applications. With three primary category structures available, users can choose between the IAB taxonomy's detailed categorization or opt for a simpler framework that suits their needs. Our advanced API leverages a machine learning engine to analyze a website's content and metadata, extracting relevant text to classify the site effectively while assigning up to three categories, all enhanced through natural language processing techniques. This versatility ensures that businesses can tailor their digital strategies more effectively by leveraging precise categorization capabilities.

The Clarabridge Platform consolidates various Voice of the Customer (VoC) data, as well as customer feedback and interactions, into one cohesive system. Utilizing advanced AI-driven speech and text analytics alongside top-tier Natural Language Understanding (NLU), it assesses the dialogues occurring between your customers and employees daily across phone calls, live chats, private messages, and social media channels. With Clarabridge, you receive prompt insights into how easy it is for customers to engage with your business (Effort), their loyalty and emotional responses, the underlying reasons for changes in Net Promoter Score (NPS), as well as issues related to customer churn or increased contact volumes. The insights provided by Clarabridge enable swift decision-making, prompt actions, and effective tracking of outcomes. By collaborating with Clarabridge, you gain access to solutions specifically designed for enhancing customer experiences, supported by a state-of-the-art AI-powered text analytics engine, facilitating a transition from confusion to clarity to fully comprehend each customer engagement. As the only platform that effectively captures customer sentiments, Clarabridge empowers businesses to enhance their customer relationships.

Allganize offers cutting-edge AI solutions that empower businesses to streamline both customer and employee support effectively. Within just four months post-implementation, companies can automate approximately 72% of their monthly support tickets. Our AI technology takes care of straightforward customer inquiries, allowing support agents to concentrate on more intricate challenges. Employees can engage in a conversational manner to pose questions and receive answers from a variety of document types seamlessly. Additionally, our conversational AI chatbot is pre-trained for integration with your websites, enhancing customer service automation. The intelligent search capability precisely extracts answers from any document almost instantly. It also identifies key terms from documents and systematically categorizes them, delivering valuable insights for better decision-making. By understanding the context of product reviews through natural language processing, it can automatically discern whether experiences are positive or negative. Furthermore, it assigns predefined categories to customer support interactions, enabling accurate identification of user intent and enhancing overall customer satisfaction. This comprehensive approach ensures businesses can optimize their operations while delivering superior service.

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.

Amazon Comprehend is an innovative natural language processing (NLP) tool that employs machine learning techniques to extract valuable insights and connections from text without requiring any prior machine learning knowledge. Your unstructured data holds a wealth of possibilities, with sources like customer emails, support tickets, product reviews, social media posts, and even advertising content offering critical insights into customer sentiments that can drive your business forward. The challenge lies in how to effectively tap into this rich resource. Fortunately, machine learning excels at pinpointing specific items of interest within extensive text datasets—such as identifying company names in analyst reports—and can also discern the underlying sentiments in language, whether that involves recognizing negative reviews or acknowledging positive interactions with customer service representatives, all at an impressive scale. By leveraging Amazon Comprehend, you can harness the power of machine learning to reveal the insights and relationships embedded within your unstructured data, empowering your organization to make more informed decisions.

Utilize natural language processing to derive insights from unstructured text without needing machine learning expertise, leveraging a suite of features from Cognitive Service for Language. Enhance your comprehension of customer sentiments through sentiment analysis and pinpoint significant phrases and entities, including individuals, locations, and organizations, to identify prevalent themes and trends. Categorize medical terminology with specialized, pretrained models tailored for specific domains. Assess text in numerous languages and uncover vital concepts within the content, such as key phrases and named entities encompassing people, events, and organizations. Investigate customer feedback regarding your brand while analyzing sentiments related to particular subjects through opinion mining. Moreover, extract valuable insights from unstructured clinical documents like doctors' notes, electronic health records, and patient intake forms by employing text analytics designed for healthcare applications, ultimately improving patient care and decision-making processes.

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.

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

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.

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.

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.

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.

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.

• 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.

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.

The Moderation API leverages advanced artificial intelligence to streamline text analysis, enabling you to enhance efficiency, prioritize privacy, and accelerate growth effectively. By integrating this technology, organizations can significantly improve their operational capabilities.

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.

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.

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.

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.

Enhancing your analysis capabilities, Leximancer automatically examines your text documents to uncover overarching concepts, providing essential ideas and actionable insights through robust models, engaging visualizations, and convenient data exports. It accommodates a variety of text formats and languages, whether you have a single document or a comprehensive collection. By looking beyond mere words, Leximancer reveals the underlying narratives; text is a conduit for ideas, concepts, and interconnections that may be hidden within. Quickly identifying these concepts is crucial for fully grasping the messages conveyed in the text. This applies to a wide range of sources, including customer surveys, published articles, interview transcripts, extensive reports, web pages, feedback forms, tweets, and more, allowing you to discern the true essence of the content. Notably, Leximancer features text modeling with minimal setup, requiring no training sets or key term dictionaries, thus eliminating human bias from the analysis process. It excels at discovering concepts within their context rather than relying on keywords, delivering useful results in a timely manner that empowers your decision-making.

Our platform is designed alongside groundbreaking scientific advancements that uncover how individuals perceive and articulate over 30 unique emotions. The ability to comprehend and convey emotions effectively is essential for the advancement of voice assistants, health technologies, social media platforms, and numerous other fields. It is vital that AI applications are rooted in collaborative, thorough, and inclusive scientific practices. Treating human emotions as mere tools for AI's objectives must be avoided, ensuring that the advantages of AI are accessible to individuals from a variety of backgrounds. Those impacted by AI should possess sufficient information to make informed choices regarding its implementation. Furthermore, the deployment of AI must occur only with the explicit and informed consent of those it influences, fostering a greater sense of trust and ethical responsibility in its use. Ultimately, prioritizing emotional intelligence in AI development will enrich user experiences and enhance interpersonal connections.

ExB's AI and ML Driven Cognitive Process Automation platform allows insurance companies convert any type of text into actionable insights and information for input management and process automatization. Insurance companies can use pre-trained policies management, claims management, and text mining in reports. They can also request that we train ad-hoc models to fit their business workflows.

Lexicon's sophisticated algorithms enable the efficient analysis of extensive text data, automatically identifying unique entities and clarifying ambiguous terms to deliver clear and succinct insights. By focusing on predetermined terms, Lexicon streamlines the extraction of essential elements from documents, significantly reducing time and labor. Its advanced disambiguation capability ensures precise results by differentiating between terms with multiple meanings. Additionally, the platform's glossary feature serves as a centralized repository for all identified terms and their definitions, enhancing communication within teams. The dedicated Term Page further supports a deeper understanding of pertinent terms, thereby aiding in well-informed decision-making. With these functionalities, Lexicon empowers users to harness the full potential of their textual data for better outcomes.

Various business operations often lead to the generation of numerous documents, yet many struggle to efficiently track everything and locate similar or related information pertaining to each document, context, or phrase. Luma7 addresses these challenges by automatically creating connections between documents without relying on keywords, metadata, or tags. Our algorithms analyze the text within each document to uncover all potential relationships by comprehending the deeper connections that exist. This approach allows for effective management of all produced documents, facilitates linkages across diverse sources of documentation, and supports fully automated link creation among multiple documents, as well as relationships between concepts and documents. Additionally, we offer automated tagging for each document, which includes identifying relevant keywords not explicitly mentioned in the text, streamlining connection processes across our entire archive of articles, implementing entity recognition throughout documents, providing support in multiple languages, and much more. With Luma7, businesses can improve their document management practices and enhance their ability to find and connect vital information seamlessly.

Social Mention helps identify discussions about your brand or competitors in both news outlets and various social media platforms. This user-friendly tool serves as a social media search engine that compiles content generated by users from all over the web into one cohesive stream. It functions as a monitoring resource, enabling you to observe and quantify what individuals are expressing about your brand globally and in real-time. Integrated within BrandMentions, this comprehensive brand monitoring solution is tailored to track and actively participate in online dialogues as they happen. With Social Mention, you'll never overlook any comments or mentions related to your brand across social media channels, news articles, or other media. Stay informed about when and where your audience engages with you online. By utilizing this tool, you can gain valuable insights into customer interactions, assess the effectiveness of your social media strategies, and develop products that align closely with consumer needs. This ultimately strengthens your brand's presence and responsiveness in the digital landscape.

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.

Mention is a comprehensive solution for real-time Media Monitoring and Social Listening designed for small to medium-sized businesses as well as large enterprises, operating across more than 125 countries worldwide. By providing an extensive array of tools at a competitive price, we empower countless businesses to enhance their monitoring and listening capabilities, ensuring they achieve the maximum return on their investments. With over a billion sources analyzed across the internet—including news sites, forums, review portals, and various social media platforms like LinkedIn, X, Facebook, and TikTok—we enable a vast number of clients to receive immediate notifications whenever their topics of interest are discussed online. Whether your goal is to gauge public perception of your brand or product to bolster your reputation, scrutinize and fortify your market position by tracking your competitors’ activities, or spot trends within your industry, Mention is committed to providing the support you need to succeed! Our dedication to client success means we continually evolve our offerings to meet the ever-changing landscape of media and social engagement.

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.

YouScan, a social media listening platform that uses image recognition technology, is powered by YouScan. It allows agencies and enterprises to instantly access customer conversations online. Users can seamlessly complete the most difficult tasks with ease thanks to smart alerts, trend detection, sentiment analysis and smart alerts. Major brands like L'Oreal and Nestle use YouScan to efficiently identify potential customers.

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.

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.

Respond to customer perceptions more rapidly than ever before by uncovering and prioritizing your key brand drivers. Evaluate your brand equity in comparison to competitors and identify emerging trends within your industry. Ensure your marketing strategies and positioning align with current trends while gaining insights into your customers' beliefs. Communicate effectively by resonating with their language and understanding how shifts in customer perceptions influence your brand. Utilizing the power of Artificial Intelligence, our analytics platform examines billions of customer opinions from diverse data sources in real-time to highlight the topics that matter most to consumers. Clootrack expertly differentiates between valuable reviews and trivial remarks, while also grasping the emotional weight behind opinions to pinpoint customers’ urgent needs with clarity. This comprehensive understanding empowers brands to adapt and thrive in a constantly evolving market landscape.

Ensure that you stay informed about every social mention of your brand by identifying who is currently discussing you and interacting with them. The landscape of marketing has been transformed by social media, making it essential for marketers to master the art of locating, tracking, and engaging in significant online conversations related to their brands. Even if you're operating on a tight budget, it’s entirely feasible to leverage these mentions effectively with the right approach. A social mention arises whenever a keyword, hashtag, or brand you’re monitoring is referenced on social platforms, and with Social Searcher, you can view all of these mentions conveniently in one place. Our service encompasses leading social media networks and all online references, allowing you to connect with countless individuals almost instantaneously. The functionality resembles that of other search engines; simply input the specific keywords or brand you wish to monitor, and you’ll receive a curated list of results complete with analytics. By actively engaging with your audience, you can enhance your brand's visibility and foster stronger relationships.

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.

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.

Enhance your decision-making process with a smarter and quicker approach using our Enterprise Document Intelligence Platform, designed to transform raw data into actionable insights. This adaptable platform leverages advanced cognitive Machine Learning and Natural Language Processing algorithms to automatically classify, extract, enrich, and integrate pertinent, timely, and accurate information from various documents. Delivered as a service, this solution minimizes ownership costs and accelerates the realization of value. The platform operates through a systematic process: first, it CLASSIFIES by ingesting structured, semi-structured, or unstructured documents and utilizing semantic understanding alongside visual cues to identify and categorize them. Next, it EXTRACTS essential words, phrases, and text segments from both printed and handwritten materials while detecting signatures or annotations on pages, allowing for easy review and corrections of the extracted content. Furthermore, the AI system learns and improves from human corrections, enhancing its accuracy over time. Finally, the platform offers ENRICHMENT through customizable data verification, validation, standardization, and normalization, ensuring that the information you rely on is both reliable and relevant. With this comprehensive approach, organizations can unlock the full potential of their documents and drive informed decisions.

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.

TrustServista harnesses cutting-edge AI technology to equip media professionals, analysts, and content distributors with comprehensive tools for content analysis and verification. By leveraging sophisticated algorithms, TrustServista assesses the credibility of news articles through deep content evaluation, considering factors such as the publisher's reputation, referenced sources, and varying perspectives on the same topic from different media outlets. The platform boasts a diverse array of text analytics functionalities, including automatic summarization, entity extraction, sentiment analysis, and organized content classification. An impressive capacity allows TrustServista to scrutinize over 60,000 articles daily in various languages, generating valuable real-time insights based on open data. Additionally, the service facilitates the automatic identification of semantic similarities between documents while extracting hyperlinks and references from online content, further enhancing its analytical capabilities. This comprehensive approach not only aids in understanding the media landscape but also supports informed decision-making for its users.