Alternatives to RogTCS

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.

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.

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.

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.

Kapiche is an analytics and insights product that makes sense of customer feedback data. It empowers you to make better decisions and positively impact your bottom line. Combine multiple data sources to quickly analyze 1000s of customer feedback responses. No setup, no manual coding, no code frames. Discover insights in minutes and not weeks. You can have complete confidence in your analysis. Answer business questions quickly with deep, actionable insights from all customer data sources. It takes only minutes, not weeks. Your insights analysts will provide insight to help ensure buy-in for your CX programs throughout the organization and drive customer-centric, impactful change. It is impossible to make the most effective business decisions using only quantitative customer information. The best insights come from combining qualitative and quantitative data at every stage of the customer journey.

Surveys are not enough to learn everything you need about your customers' decisions. Our conversational AI enhances your VOC program, eliminating survey blind spots. Our conversational AI engine, LUCI, organizes one-on-one conversations with customers that provide qualitative insights at a quantitative level. Worthix connects customer experiences with loyalty, share-of-wallet and churn to help you drive revenue, avoid misguided cost and reduce risk of strategic misses. Even the most powerful analytics can only provide limited answers to your questions.

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.

QCAmap is an open-access web application that allows systematic text analysis in scientific projects using the techniques of qualitative content analysis. QCAmap can also be used in research projects, e.g. QCAmap can be used in research projects in e.g. sociology, sociology and education. It can analyze small and large amounts text material and images from interviews, group discussions and observation protocols. Qualitative content analysis is strictly a rule-based procedure that includes qualitative steps (assignment and analysis of category frequencies) and quantitative steps. A web-based interactive software package has been developed that guides you through the various techniques of Qualitative Content Analysing. The software is available for free. All your existing projects have been migrated to the new version. You can continue using the software as usual.

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.

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.

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!

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.

A platform that offers a variety of machine learning algorithms to meet data mining and analysis needs. Machine Learning Platform for AI offers end-to-end machine-learning services, including data processing and feature engineering, model prediction, model training, model evaluation, and model prediction. Machine learning platform for AI integrates all these services to make AI easier than ever. Machine Learning Platform for AI offers a visual web interface that allows you to create experiments by dragging components onto the canvas. Machine learning modeling is a step-by-step process that improves efficiency and reduces costs when creating experiments. Machine Learning Platform for AI offers more than 100 algorithm components. These include text analysis, finance, classification, clustering and time series.

*GraphDB allows the creation of large knowledge graphs by linking diverse data and indexing it for semantic search. * GraphDB is a robust and efficient graph database that supports RDF and SPARQL. The GraphDB database supports a highly accessible replication cluster. This has been demonstrated in a variety of enterprise use cases that required resilience for data loading and query answering. Visit the GraphDB product page for a quick overview and a link to download the latest releases. GraphDB uses RDF4J to store and query data. It also supports a wide range of query languages (e.g. SPARQL and SeRQL), and RDF syntaxes such as RDF/XML and Turtle.

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.

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.

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.

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.

Text analysis is a complicated and specialized task. Textalytic makes it easy to extract insights from textual content. Our corpus builder can preprocess your text. You can copy and paste the text from your computer or Dropbox into the editor. Your results can be viewed in a table or graph, or exported to csv or pdf formats. Graphs can also be saved as image files, embedded in websites, or emailed. Richly colored charts and graphs can provide insights. You can compare features in dynamic scatterplots with the compare features function. Analyze the frequency with which words describe a noun/pronoun. Analyze the frequency words that describe an action, state, or situation. Analyze frequency of words that indicate the relationship between words. Analyze frequency of the group of words that defines the subject.

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.

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:

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.

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.

* 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.

Netigate's online survey platform for EX and CX allows you to create surveys, distribute them to the right audiences, and measure your metrics and performance over time. With servers in the EU, Netigate is 100% GDPR-compliant. Get actionable insights from customers, employees, and stakeholders in real time. With Netigate you can create your surveys quickly with customisable templates and distribute your surveys at various touch points Link survey data to your own databases via API interface and trigger instant actions e.g. in the event of negative feedback. You can easily share survey reports across your organisation. Specialising in CX and EX feedback, Netigate is the complete solution for companies.

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.

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.

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.

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.

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.

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.

PrepAI assists exam administrators and content leaders in saving time and reducing human error while generating question papers for online and offline exams. PrepAI offers support for state assessment, which boosts student achievement. The programs offer both realistic assessment exercises and consistent practice using artificial intelligence. The initiative aims at improving student learning in schools, edtech companies and educational institutions. Edtech professionals and innovative engineers developed our collaborative platforms and artificial intelligence platform. PrepAI uses Natural Language Processing technology for text analysis engine. This makes the evaluation more effective and has a greater impact on learning. PrepAI's product experts create the best solutions for individuals or organizations based upon their specific requirements. It also helps to create a rigorous study program that is aligned with standards that can better prepare students for success in the workplace.

Our online survey tool is free and easy to use. Our survey tool allows you to create unlimited surveys with unlimited questions. You can also add logos and customize your survey theme to match your brand. Multiple collectors can be used to collect responses to your survey. Send a link to your survey via email, Facebook, Twitter, or your blog. You can embed the survey directly on your website. Survey analysis is made easy with a full suite of reporting features, including real-time summary and pivot tables, segmentation tools and trend analysis. Export your survey data as Excel, CSV or text. Inqwise is an online survey tool that makes it easy for you to create surveys online. You can use Inqwise to create advanced surveys or collect customer feedback. Inqwise can help create online surveys to collect data and analyze it.

trustMinder, a cloud-based Voice of the Customer platform, is used to measure customer experience in brands and state agencies. Trust is an essential aspect of customer experience. Customers will abandon your business if they don't trust you. TrustMinder will help you maintain that trust and monitor the customer experience 24x7. TrustMinder uses state-of-the-art methods to collect feedback and interpret it into valuable customer insights. You can capture feedback from any channel and convert it into actionable insights. You can quickly see the 'why' behind any CX score using real-time text analytics or machine learning. Create dynamic, insightful reports that clearly show CX metrics and other operational data. Identify customer problems in real time and close the loop.

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.

FeedCheck allows you to bring customer feedback from online shops right into your boardroom. It's quick & easy. Connecting brands to product ratings and reviews in any market. With data and text analysis, you can see the complete picture of all reviews from your competitors and yours. Alerts will notify you of new reviews and questions so that you can join customer conversations quickly. The right reviews tool will allow everyone to work across all organizational levels - from R&D, marketing, sales, and customer support. Your customers will know that reviews are important. Many products can be purchased online, but reviews are constantly being posted. Reviews can directly influence your sales, so you need to monitor them. Monitor reviews to get a complete picture of your customers and their perceptions of your product. Customer reviews hide valuable insights. FeedCheck allows you to see what customers are talking about, what makes them happy, and what frustrates them.

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.

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.

ChatOga uses OpenAI's GPT-3 language model and Whisper for audio and text analysis, and provides accurate and relevant responses via WhatsApp or Telegram integration. ChatOga uses OpenAI's GPT-3 for text analysis, and Whisper for audio. Its functionality includes analyzing text and voice messages in order to provide precise and relevant answers to your message. The chat interface is found within WhatsApp or Telegram.

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.

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.

Welcome to the Apache SpamAssassin Project's home page. Apache SpamAssassin is the most popular Open Source anti-spam platform. It allows system administrators to filter spam and block unsolicited bulk emails. It integrates a robust scoring framework with plug-ins to integrate an extensive range of advanced statistical analysis tests on email body text and headers including Bayesian filtering, DNS blocking lists, and collaborative filtering database. Are you looking for ways to improve your current installation? You can click here to see a wide range of topics in our Wiki. SpamAssassin uses a variety of network and local tests to identify spam signatures. Spammers have a harder time identifying the one aspect they can use to craft their messages.

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.

You're in the right spot if you need to solve a problem related to text analysis or language processing. GATE is an open-source software toolkit that can solve almost any text processing problem. It is supported by a large and well-established community of users, educators, students, scientists, and developers. It is used by multinational corporations, SMEs and universities worldwide. It boasts a top-notch team of language processing developers. GATE is free and open-source software. Users can get support via GATE.ac.uk from both developers and users, or commercially from our industrial partners. Our team is more than twice the size of comparable projects. Many of these are integrated with GATE2. GATE development3 has received more than EUR5 million. Our goal is to ensure that this money continues to be a good investment for all GATE users.

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.

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.

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

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.

NetOwl Extractor provides highly accurate, fast and scalable entity extraction in multiple language using AI-based natural languages processing and machine learning technologies. NetOwl's named-entity recognition software is available on premises and in the cloud. This allows for a variety Big Data Text Analytics applications. NetOwl's named entity recognition software can be deployed on premises or in the cloud. It supports entity extraction from over 100 entities. It includes people, different types of organizations (e.g. companies, governments), various types of places (e.g. countries, cities), addresses and artifacts as well as phone numbers, titles and titles. This vast named entity recognition (NER), forms the foundation for advanced relationship extraction and event extraction. Domains include Finance, Politics and Homeland Security, Law Enforcement, Military, National Security and Social Media.