Alternatives to teX.ai

It is all about getting insight. TAS Insight Engine gives you all the information you need to make the right business decisions. In order to support business decision making, getting insight is a type of information extraction from enterprise data. It is clear why insight is so important in today's business world. Understanding your data and getting answers are crucial to meet the challenges of today's market. Every sector and every area is important. TAS Insight Engine combines the best of text analytics, natural language processing (NLP), and machine learning (ML) to make this possible.

Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.

Dcipher Analytics, a modern SaaS-based text analysis platform that uses no code, makes text analytics accessible to the general domain expert. The platform speeds up the time-to insight, model training, and automation workflows for analysts and insight professionals. The foundation of the solution is a unique architecture and proprietary query language that allows for nested data structures such as text.

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.

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.

Watson Natural Language Understanding, a cloud native product, uses deep learning to extract metadata such as entities, keywords and categories, sentiments, emotions, relations, and syntax. Text analysis can be used to uncover the topics in your data. It extracts keywords, concepts and categories. Unstructured data can be analyzed in more than 13 languages. Machine learning models for text mining are available that can be used outside-of-the box to provide high accuracy across your content. Watson Natural Language Understanding can be deployed behind your firewall or on any other cloud. Watson Knowledge Studio allows you to train Watson to understand your business language and extract custom insights. You can keep control of your data and have the assurance that it is safe and secure. IBM will not store or collect your data. Our advanced natural language processing service (NLP), gives developers the tools to extract valuable insights from unstructured information.

Unstructured data such as email, chat, and phone notes can be used to extract actionable business intelligence that will help you improve your customer experience (CX). Multichannel analytics can help you better understand multichannel customers. Multichannel customers mean that employee and customer analytics must be multichannel. Voice remains an important channel, but customers are choosing to use digital channels like chat, email, and social media. Adding Text Analytics allows you to get a complete analysis of your customer engagement strategy.

MonkeyLearn makes it easy to clean, label, and visualize customer feedback all in one place. Powered by cutting-edge Artificial Intelligence. All-in-one text analytics and data visualization studio. You can instantly gain insights by running an analysis of your data. You can either use pre-made machine learning models or create and train your own. Our templates are tailored to different business scenarios, and come with pre-made text analysis models. Identify the most important topics and interests for your target markets. Based on accurate analysis of customer sentiments and opinions, you can develop demand generation and sales strategies. You can slice and dice your survey responses according to requests, intent, or sentiment. You can see more than what the survey intended.

A flexible platform for text analysis, discovery, and discovery. Built to handle the most complex text analytics applications. It is engineered to deliver high accuracy and speed without compromising speed. This platform is flexible and adaptable, making it an ideal platform for natural language processing applications. To prepare your data for analysis, you will need to know the basics of text analytics. Language-specific tools to tokenize, part-of speech tagging and lemmatization. Search applications face unique and challenging challenges in delivering accurate and relevant results in every language, even English. Rosette® Base Linguistics allows enterprise applications to search and process text in many languages. It provides a complete range of linguistic services. RBL enriches the original text using its native language to provide best-of-class natural-language processing. This improves speed and accuracy.

The Clarabridge Platform combines all VoC data, customer interactions, and feedback into one platform. AI-powered speech analytics and text analytics combine with the best Natural Language Understanding (NLU) in the industry to evaluate the conversations customers and employees have every day via phone calls, chats, private messages, and social media. Clarabridge provides timely answers to your questions about ease of business (Effort), customer loyalty, emotions, root cause for NPS change, high contact volume, churn, and many other topics. Clarabridge insights allow you to make fast decisions, track results, and act quickly. Clarabridge is a partner that provides solutions specifically designed for customer experience. It also has an AI-powered best in class text analytics engine. This allows you to understand every customer interaction and move beyond complexity to clarity. Clarabridge is the only platform that captures what customers say.

Our NLP reveals insight from text at scale with an industry-leading accuracy and the flexibility to integrate into your business and workflow requirements. You will achieve meaningful, repeatable results. Many of our models achieve precision and recall levels exceeding 90%. It's not surprising that Amenity's NLP is trusted across multiple industries, as opposed to the industry average of 68%. Extract valuable text and ignore noise. Our NLP extracts, distills and structures text from millions upon millions of documents to provide actionable business insights. It determines the context, meaning, and how they might change between the paragraph and the phrase. Transform any source text into industry-specific analysis, sentiment tied to business events, and a clear view of the "why" behind it. There are no black boxes. Our NLP can be configured to meet your needs and place it where you need.

TextRazor API allows you to extract and understand the Whos, Whats, Whys and Hows from your news stories with unparalleled accuracy and speed. Entity Extraction, Linking, and Disambiguation. Keyphrase extraction. Automatic Topic Tagging, Classification. All this in 12 languages. Deep analysis of your content allows you to extract Relationships, Typed Dependencies between words, and Synonyms. This allows for powerful context-aware semantic applications. Rapidly extract custom products and companies, and create problem-specific rules to tag your content with your own categories. TextRazor provides a cloud-based or self-hosted text analysis platform. Our combination of state-of-the art natural language processing techniques and a vast knowledgebase of real-life facts allows us to quickly extract the value from your documents.

Linguamatics I2E has a track record of delivering the best text mining capabilities across a wide range of applications. Its flexible nature allows for the tuning of query strategies to deliver precision and recall required for specific tasks at an enterprise level. I2E is an interactive and agile text mining application that extracts and analyzes information. I2E's underlying Natural Language Processing technology makes it particularly powerful in its ability to answer many questions, from simple open questions to complex linguistic queries. I2E speeds up many clinical and research processes. I2E can speed up tasks that were previously impossible with manual methods or took months to complete. Customers claim that I2E delivers actionable results 10 times faster than traditional keyword searches.

WordStat is an easy-to-use and flexible text analysis software. It can be used for text mining tools to quickly extract themes and trends or precise measurement using state-of-the art quantitative content analysis tools. WordStat is available to anyone who needs to quickly extract information from large numbers of documents. Our text mining and content analysis software can be used for many purposes, including analysis of open-ended answers, business intelligence, analysis of news coverage, fraud detection, and more. WordStat's seamless integration to SimStat – our statistical data analysis tool – QDA Miner, our qualitative data analysis program - and Stata, the comprehensive statistical software by StataCorp, allows you unprecedented flexibility in analyzing text and linking it to structured information, including numerical data.

Integrate our text analytics APIs into your product, platform, and application to add world-leading NLP. This is the most complete NLP feature stack available. It has been 19 years in development and is constantly improving with new configurations, models, and libraries. You can determine whether a piece is positive, neutral, or negative. Sort and organize documents into configurable groups. Determine the intended purpose of customers and reviewers. Locate people, places and dates. Find companies, products, jobs, titles and more. Our text analytics and NLP systems can be deployed on any combination of public, private, hybrid, or on-premise cloud infrastructures. Our core text analytics and natural-language processing software libraries are available to you. This product is ideal for data scientists and architects who need to have full access to the underlying technology, or for on-premise deployment security or privacy reasons.

Atomic Intelligence is a web-based service that automates the analysis of text content. We monitor large amounts of content, such as news, social media and regulatory filings, and detect opinions along with mentions or products and company names. Investment firms use our service to analyze text for their proprietary trading strategies. Consumer product companies need to understand their customers' opinions. Technology companies want to outsource text analysis. Atomic Intelligence scans the text for mentions of companies and products, sentiment, topics, etc. Machine learning and natural language processing are used to identify important mentions in text. These mentions may be implicit or explicit. The technology of Atomic Intelligence includes components for:

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.

Komprehend AI APIs provide the most complete set of document classification and NLP programming APIs for software developers. Our NLP models have been trained on more than a million documents and provide state of the art accuracy for most NLP use cases, such as sentiment analysis or emotion detection. Get our Text Analysis API free demo. It provides useful insights from textual data and maintains high accuracy in real life. It can work with a variety data types, from healthcare to finance. Private cloud deployments via Docker containers and on-premise deployments are supported. This prevents data leakage. Your data is protected and the GDPR compliance guidelines are followed to the letter. Monitor online conversations to understand the social sentiment surrounding your brand, product, and service. Sentiment analysis, also known as contextual mining of text, is a method that extracts and identifies subjective information from the source material.

NLP software libraries and text analytics for on-premise integration or deployment. Integrate Salience in your enterprise business intelligence architecture, or white label it within your data analytics product. Salience can process 200 tweets per seconds while scaling from one process core to entire data centers with small memory footprint. For higher levels of ease, you can use Java, Python, C#, or the native C/C++ interface. You have full access to the technology. You can tune every text analytics function and NLP feature. This includes tokenization and part-of-speech tagging, sentiment scoring, categorization and theme analysis. Based on a pipeline model that includes NLP rules and machine-learning models. Identify where issues are occurring in the pipeline. You can adjust specific features without affecting the entire system. Salience runs entirely on your servers, but you can also offload sensitive data to the cloud servers.

Our comparative text analysis platform, which is based on a background in online child protection, extracts business value out of your text data. Relative Insight's technology allows brand specialists and marketing professionals to extract more value from the text data they already have. Our platform allows you to quickly and efficiently generate rich audience insights by using a comparative approach. This adds science and sophistication to your qualitative analysis. Brands can use unique marketing insights to develop better communications, better brand positioning, or more engaging campaigns. Our platform will allow you to decipher and embrace unstructured data, and reduce the time it takes for analysis. You can also use the same approach to analyze primary research transcripts, such as interviews and focus groups. Relative Insight allows you to compare your brand messaging with other competitors.

NetOwl TextMiner is a unique text analytics tool that combines the award-winning NetOwl Extractor and Elasticsearch. TextMiner leverages all NetOwl capabilities. It is ideal for supporting "what-if" analysis, discovery and quick response investigation. NetOwl TextMiner combines all the text analytics capabilities of NetOwl Extractor. This includes entity extraction, relationship extraction, event extraction, sentiment analysis and text categorization. It also supports geotagging and text categorization. Elasticsearch stores extractor output for a variety intelligent search and analysis capabilities. Combining Elasticsearch with NetOwl allows for fast, scalable real-time text analytics for Big Data. TextMiner's Web-based user interface is easy to use and configure for different analysis scenarios. It allows users to quickly access all and only high-value information derived form a large number of texts.

Cauliflower can process feedback and comments for any type of service or product. Cauliflower uses Artificial Intelligence (AI) to identify the most important topics, evaluate them, and establish relationships. Machine learning models in-house developed for extracting content and evaluating sentiment. Intuitive dashboards that offer filter options and drill-downs. You can use included variables to indicate language, weight, ID and time. In the dropdown, you can define your own filter variables. Cauliflower can translate the results into a common language if necessary. Instead of reading customer feedback sporadically and quoting individual opinions, define a company-wide language.

Extract information from text documents and discover the themes and concepts hidden in them. SAS Text Miner allows you to combine quantitative variables and unstructured text, and thereby integrate text mining with traditional data mining techniques. SAS Text Miner is part of SAS® Enterprise Miner. SAS Enterprise Miner must also be installed on the same computer. SAS High-Performance Text Mining can be run on a computer grid, or a single computer system that has multiple CPUs. Text algorithms are multi-threaded, and run in-memory. This increases responsiveness, concurrency, and reduces I/O burden. It can be accessed as nodes in the SAS High-Performance Data Mining environment, or as two procedures PROC HPTTMINE and PROC HPTTMSCORE. Take a course with the analytics experts to learn SAS technology quickly and efficiently.

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.

OpenText™, Unstructured Data Analytics Products use AI and machine learning in order to help organizations discover and leverage key insights that are hidden deep within unstructured data such as text, audio, videos, and images. Organizations can connect their data at scale to understand the context and content locked in high-growth, unstructured content. Unified text, speech and video analytics support over 1,500 data formats to help you uncover insights within all types media. Use OCR, natural language processing and other AI models to track and understand the meaning of unstructured data. Use the latest innovations in deep neural networks and machine learning to understand spoken and written language in data. This will reveal greater insights.

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

Take control of your models with the leading Machine Learning-as-a-Service Platform for unstructured social and voice-of-customer text analytics. Our team of experts can help build highly-advanced social models that leverage, deploy, generalize, and use your information correctly. For transparency, accuracy, and fairness, align your social listening efforts with the best AI strategies. Are you new to social listening? Want to improve the effectiveness of your solution's performance? Our industry-leading team will guide you on your journey. You have the data, but you want to uncover critical insights. Our AI classifiers provide industry-leading programmatic insights solutions. You can choose from a wide range of prebuilt industry-based machine learning models that are ready for immediate deployment.

Our AI-powered natural speech processing technology can extract, analyze, and visualize customer communications. Chats, emails, chats, support tickets, return requests, social media, surveys, and call transcriptions. All available in 47 languages Explorer makes it easy for anyone to analyze open-ended text responses in just minutes. Explorer offers an API that allows users to integrate unstructured text data into their business intelligence ecosystem. Employee experience is the study of factors that motivate and make employees happy. Our products allow companies to quickly process, analyze, and understand large amounts unstructured natural languages data. A simple platform to create custom bots that are tailored to your business needs. You can start in minutes for immediate efficiency gains. The Gavagai API supports 47 languages. Get our endpoints right away!

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.

Customer Intelligence is a combination of Business Intelligence and Customer Experience. It reveals the crucial connection between customer's thoughts, feelings, and the metrics that drive business. Explore empowers you to find the answers your company needs to make a difference. You have gathered the thoughts and feelings from your customers through various feedback, survey, and customer support systems. To understand at scale, you can start putting this data into OdinExplore. Explore the feedback of your customers to discover which topics are most important to them. Explore auto-terms and create important topics. Use dictionaries to analyze emotions and sentiment. To highlight and discover the differences between different groups of people, create segments based upon specific demographics, ratings, time periods, or other criteria. Multiple experiments can be used to gain new insights into different customer segments and products.

* Categorize themes • Visualize the Results • Topic-Level Sentiment Analysis • Powered by Collaborative Artificial Intelligence Caplena, a customer feedback tool, uses augmented intelligence to help CX professionals, market researchers, and consultants uncover deep insights in open-ended text. Caplena's story started when Maurice and Pascal, co-founders of the company, realized that many market research firms that deal with customer feedback have the same problem: Too many open ends, not enough time to analyze them accurately. Caplena was launched in Spring 2018 and has processed over 50 million responses. Caplena also adds 120 projects each week. Caplena is today the text analytics tool of preference for more than 100 companies in over 15 countries. Customers include Joyn, Swisscom, DHL and Coop.

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.

InfoNgen is a text analytics solution and sentiment analysis tool that automatically uncovers actionable insights in mountains of data. To dramatically reduce the time required to make informed strategic decisions, your teams will be able to share, analyze, and share only critical information from both structured and unstructured data. InfoNgen's proprietary tools for sentiment analysis and text analytics allow you to uncover patterns, trends, and anomalies deep within your data. InfoNgen is the only product that combines its unique use cases with powerful features. This will empower your employees to make better decisions and get there faster. InfoNgen provides businesses with a powerful resource for finding critical information. It has pre-built industry taxonomies and customizable delivery options.

All your open-ended customer feedback is converted into actionable information by Etuma text analysis service. You receive a lot of open-text feedback comments via multiple channels. It is difficult to turn them into actionable insights in a timely fashion. Manually reading and categorizing comments is expensive, slow, and inconsistent. Although keyword analysis is statistically meaningful and actionable, it's slow and expensive. Because feedback from different channels and processes is not aggregated, valuable information can be lost in organizational silos that can only be accessed by those who have it.

Idiomatic uncovers the "why" behind customer feedback using AI that is tailored to your business. Idiomatic is a partner that will help you execute the right decisions faster than general text analytics and manual analysis. Everything organized in one place. Transform feedback into data-driven actions, in real time. Learn which issues drive key metrics such as NPS, CSAT, surveys and more. Our hyper-custom approach to your business data will help you gain. Idiomatic transforms all customer feedback into a complete, data driven picture of the customer. This eliminates the guesswork from strategic decisions. Idiomatic provides real-time notifications to alert you about changes in customer experience. Our hyper-custom approach lets you combine your business logic with our AI to get the results that you want. Connect insights from all customer feedback channels.

Streamline the classification, recognition, and capture of business documents. IBM® Datacap software forms a key capability in the IBM Cloud Pak®. This is for Business Automation. It simplifies the classification, recognition, and capture of business documents. It uses text analytics, natural language processing, and machine learning to extract content from unstructured and variable paper documents. Multichannel input from scanners and faxes, emails and digital files, such as PDF and images from mobile devices and applications. Machine learning is used to automate complex or unidentified formats and highly variable documents that are difficult to capture using traditional systems. Allows you to export information and documents to a variety of applications and content repositories, including IBM and other vendors. To speed up deployment, this interface allows you to configure capture workflows and apps with a simple point-and click interface.

Natural language processing (NLP), which is a natural way to extract insights from unstructured text, is a great way to gain insight. To understand common topics and trends, identify key phrases and entities, such as people, places, or organizations. Pretrained models that are domain-specific can be used to classify medical terminology. Sentiment analysis allows you to gain a deeper understanding of customer opinions. You can evaluate text in many languages. Broad entity extraction Identify key concepts in text, including key words and named entities, such as people, places and organizations. Sentiment analysis that is powerful: Find out what customers think about your brand and how sentiment is around certain topics. Robust language detection: Assess text input in a variety of languages. Flexible deployment: Text Analytics can be run anywhere: on-premises, in the cloud, or at the edge with containers.

End-to-end DataOps built upon an agile platform that protects and improves your data assets. Arena is the leading augmented data management platform. Our active data catalog allows for self-service data enrichment to control complex data environments. You can create custom workflows to increase the reliability and accuracy of each data set. Machine-learning can be used to identify and align master assets for better data decisions. Superior security is assured with complete lineage, including detailed visualizations and masking. Data management is easy with Arena. Arena can catalog your data from any location. Our extensible connections allow for analytics across all your preferred tools. Overcome data sprawl challenges with our software. Our software is designed to drive business and analytics success, while also providing the controls and extensibility required in today's multicloud data complexity.

The era of Big Data is here, where data-driven insights can transform your business. The solution is here: a powerful, innovative, and adaptive platform that provides all the features you need to search, discover, and analyze your data. It is called 3RDi "Third Eye" It is the semantic search engine your company needs to take action, increase revenues, and cut costs. It is powered by NLP and semantic searches and designed for multidimensional information analysis as well as easy search relevancy management. The comprehensive, scalable platform that solves every problem in search and text mining. It can manage unstructured content and extract deeper insights that will help you grow your business. 3RDi is more than a search engine. It offers a complete suite of solutions for text mining and enterprise search, as well as content integration, governance, analytics, and much more.

A Business Intelligence platform that natively runs on massively parallel databases. This allows for data visualization, operational analysis, tracking, and reporting. MPP BI opens up information superhighway for your business data. Preparation. All data required from all data sources. All data is consolidated, clean and ready to be used. There are many integration options. Processing. There are no limitations on the combination of different data types, processing modes, and frequency of updates. Visualization. Visualization. Collaboration. Interactive presentations, natively embedded analytics on the corporate portal and easy data export. Text analytics that reveal the true meaning of text data. MPP NLP is a text analytics engine that uses our MPP BI platform. It's fast and scalable. It offers text filtering, rule-based or machine-learning classification.

Amazon Comprehend uses machine learning to discover insights and relationships in text. No prior machine learning experience is required. Your unstructured data can hold a treasure trove. Your unstructured data can provide valuable insights into customer sentiment. These include customer emails, product reviews, support tickets, social media and even advertising copy. How can you get there? Machine learning is able to identify specific items of interest within large swathes text (such finding company names in analyst report), and can also learn the sentiment hidden within language (identifying negative customer reviews or positive customer interactions with service agents). This is possible at a nearly limitless scale. Amazon Comprehend uses machine-learning to help you discover the relationships and insights in your unstructured data.

Digsite's agile insights technology allows teams to quickly learn from consumers and iterate. In just 24 hours, you can recruit and launch a Digsite Sprint group. Answer "Why" questions, take photos and videos of your experiences, and iterate on the ideas you have. Digsite's interactive SmartDashboard makes reporting on your research quick and easy. Our automated text analytics and natural language processing will help you identify and feature key qualitative findings. You can also download your editable report directly into PowerPoint. It's easy to find your target audience with us. You can access our pre-qualified participants, microtarget your audience using our SocialFind recruitment, or create your own customer list. The platform has been built with research expertise. You can customize our discussion guide templates to meet your specific needs. You have the option of full-service and guided support.

Customer feedback is more than just surveys. Customer feedback insights. All customer feedback from all channels is aggregated and analyzed in real-time with AI. This information is then delivered to SaaS leaders for better growth strategies using LoopVOC. All your customer feedback is gathered and analyzed together in one place. AI-powered text analytics provide customer insights, so you can spend less time looking for the problem and more time solving it. Your team can start immediately because our topic modeling is unique and specific to B2B SaaS. It's the real-time voice of your customer. There's no need to guess what customers want. Your team will have visibility into the most important risks and opportunities throughout the customer journey so they can identify and address them early. This will allow you to create a customer program that is both beneficial for your customers as well as your bottom line.

Search powered by AI allows you to find specific answers and trends in documents and websites. Watson Discovery is an AI-powered search engine and text-analytics. It uses market-leading natural language processing technology to understand the unique language of your industry. It quickly finds answers in your content and uncovers business insights from documents, webpages, and big data. This reduces research time by more that 75%. Semantic search goes beyond keyword search. Watson Discovery provides context for answers to questions, which is a departure from traditional search engines. It quickly scans your connected data sources to find the most relevant passage, and then provides the source documents or webpage. Natural language processing and next-level search capabilities make all information accessible.

A no-code console can read natural language and handle text data. Never again will you need a spreadsheet. Spreadsheets don't know the meanings of words or languages. SimpleX knows this, as do you. There are no complicated queries or machine learning gibberish. A.I. A.I. is well hidden behind a simple, intuitive UI. Free text answers 10x faster than traditional analysis In seconds, import, tag, categorize and filter hundreds of quotes. Our A.I. Our A.I. does all the heavy lifting. Instant word clouds or treemaps, ready to be used in your presentation. Clean exports with all the necessary insights. Understanding and processing natively 50 languages, even when mixed up. Handles up to 10k text responses such as feedback, comments, and reviews. AI-powered analytical capabilities enable you to extract insights 10 times faster. Real-time, time-consuming tasks that you thought only humans could perform. The simple and friendly solution to sophisticated AI is sophisticated AI.

Contact Centers such as yours can use our Quality Assurance Platform to improve customer, agent, and user experience in order to thrive. We'll give you personalized recommendations on how to improve your QA. Unifying customer feedback, performance data, and text analytics will help you quickly identify the conversations that need your attention. Integrate and fetch conversations, survey data, and performance data into the best connected QA and improvement platform. To highlight compliance and CX issues, auto-score 100% of chats, emails, and calls. Create your own signals and filters and send them to your QA team for root-cause analysis and deep dive evaluation.

A free software utility that will allow you to find the most common phrases and frequency of words. Non-English language texts can be supported. It also counts words, characters, sentences, as well as syllables.

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.

Intelligent document processing automates data processing within documents. It contextualizes the document, extracts it, and sends it to the correct place. All of this is possible with Acodis in just a few minutes. There is a lot of unstructured data in the world, and this will continue for a long time. Acodis allows you to extract data from any document in any language. Machine learning makes it easy to extract structured data from any document. With just a few clicks, you can create and combine document processing workflows. No coding required. Once you have captured and automated your document's data, you can integrate it into your existing systems. Acodis has an intuitive user interface. This allows your team to automate document-related tasks and allows you to take faster decisions based upon machine learning. You can integrate the REST client with existing business tools by using the programming language you use.

The Moderation API automates the text analysis process using artificial intelligence. This allows you to become more efficient, privacy friendly, and scale faster.