Alternatives to Conversus.AI

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.

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.

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

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.

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.

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.

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:

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

Komprehend AI 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.

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.

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.

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.

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.

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.

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.

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.

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.

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!

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.

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.

spaCy is designed for real work, real products and real insights. The library respects your time, and tries not to waste it. It is easy to install and the API is simple and efficient. spaCy excels in large-scale information extraction tasks. It is written in Cython, which is carefully managed for memory. SpaCy is the library to use if your application requires to process large web dumps. spaCy was released in 2015 and has been a industry standard with a large ecosystem. You can choose from a wide range of plugins and integrate them with your machine-learning stack to create custom components and workflows. You can use these components to recognize named entities, part-of speech tagging, dependency parsing and sentence segmentation. Easy extensible with custom components or attributes Model packaging, deployment, workflow management made easy.

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 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.

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.

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.

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.

Machine Learning and Predictive Analytics Platform. Advanced artificial intelligence is a pre-built platform for machine learning and big-data analytics that can enhance data-driven decision making. OpenText Magellan makes predictive analytics easy to use and provides flexible data visualizations that maximize business intelligence. Artificial intelligence software reduces the need to manually process large amounts of data. It presents valuable business insights in a manner that is easily accessible and relevant to the organization's most important objectives. Organizations can enhance business processes by using a curated combination of capabilities such as predictive modeling, data discovery tools and data mining techniques. IoT data analytics is another way to use data to improve decision-making based on real business intelligence.

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.

Deep Talk is the fastest way for text to be transformed from chats, emails and surveys into real business intelligence. Our AI platform makes it easy to understand what's going on inside customer communications. Unsupervised deep learning models for unstructured text data analysis Deepers are pre-trained deep learning models that can detect custom patterns in your data. The "Deepers API" allows you to analyze text in real-time and tag text or conversations. Reach out to the people who are in need of a product, ask for a new feature, or complain. Deep Talk offers cloud-based deeplearning models as a service. To extract all the insights and data from WhatsApp, chat conversation, emails, surveys, or social networks, you just need to upload the data or integrate one the support services

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.

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

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.

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.

Scraawl is an integrated suite of data analytics tools that will help you get more out of your data. Scraawl can help you analyze data that is publicly available, such as images and video, text, or all three. Scraawl uses state-of-the art artificial intelligence and machine-learning techniques to provide actionable insights via analytics. Our team is made up of data scientists, data scientists, researchers, and developers who are all dedicated to providing cutting-edge analytics to users. Scraawl SocL® is a web-based, enterprise-level, simple-to-use PAI listening and analysis tool. Scraawl SocL® analyzes, visualizes, and searches online conversations and news data to provide a user with a detailed 360 degree analysis.

* 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.

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.

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.

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.

Access, explore, and prepare data while discovering new patterns and trends. SAS Visual Data Science allows you to create and share interactive visualizations and reports using a single interface. It uses machine learning, text analysis, and econometrics to improve forecasting and optimization. Additionally, it registers SAS and open source models within projects and as standalone models. Visualize your data and find relevant relationships. You can create and share interactive dashboards and reports, and use self service analytics to quickly assess possible outcomes for better, data-driven decisions. This solution runs in SAS®, Viya®. It allows you to explore data and create or adjust predictive analytical models. Analysts, statisticians, data scientists, and analysts can work together to refine and refine models for each group or segment, allowing them to make informed decisions.

Artificio, an innovative automation tool created by Artificio Products Inc., is designed to revolutionize the data processing process and eliminate manual data input. This cutting-edge tool uses state-of-the art AI and machine learning models for extracting, segregating, validating, and integrating unstructured data from different sources including texts, images, and PDFs. Artificio enables businesses to unlock digital intelligence's full potential by converting unstructured data into structured data.

Machine learning models can transform your knowledge into text-based workflows that are scaleable and human-level. You can either create your own models, retrain our models for your task, or purchase Primer models off the shelf. Primer Automate is available to anyone in your company. No coding or technical skills are required. You can add a structured layer to your data and create an scalable, self-curating knowledgebase that can quickly scan through billions of documents. Quickly find answers to critical questions, track updates in real-time, and generate easy-to-read reports automatically. To find the most important information, process all your documents, emails and social media. Primer Extract makes it easy to quickly and efficiently explore your data using cutting-edge machine learning techniques. Extract offers more than keyword search. It also provides OCR, translation, and image recognition capabilities.

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.

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.

Advanced programming skills are required to create a topic model. This knowledge is costly and takes precedence over the most important knowledge: your data. It is tedious, expensive, and slow to label your own training data. It is quicker and cheaper to rent it out to workers at a low salary, but it compromises accuracy as well as nuance. Either way, you'll be stuck with a rigid taxonomy that is difficult to evolve. It's time for us to stop tagging. Free access to subject matter experts to help model and analyze their data. There are mountains of text data that can be mined for insights. Pienso is here for you. Pienso can be used to train models using your data because that is what we know works best. Pienso can help you understand your data, no matter how structured or unstructured it is.

Attivio's ability to analyze and unify all types of enterprise data from a single platform is unique. The need to integrate separate search, text-mining, and BI software is no longer necessary. Attivio's ability to correlate facts across applications and data repositories is the fastest way to understand and use 100% of the information driving your innovation and operations. Attivio’s Insight Engine is able to profile, identify and unify all sources, regardless of their location or format. Do not settle for anything less that a 360-degree perspective. Find out why independent analysts consider Attivio a leading provider for solutions that analyze unstructured information, correlate the results with structured data, and provide actionable insights.

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.

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.

BIS, a company that has 35 years of experience in developing and delivering innovative technology, built Grooper from the ground up. Grooper is an intelligent data processing and digital data integration tool that allows organizations to extract meaningful information out of paper/electronic documents, and other unstructured data. The platform combines advanced image processing, capture technology and machine learning with optical character recognition to enrich data and embed human comprehension. Grooper is a foundation for many industry-first solutions, including in healthcare, financial services and education.

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

All-in-one domain data resource to obtain website logos, company information, categorization and much more from an email or URL. Our website categorization API can be used to classify a company within 385 topic categories. Our classification taxonomy, which is based on IAB V2 standards, can be used for 1-to-1 personalization, marketing segmentation and online filtering. Our classification taxonomy uses the IAB V2 standard. It can be used for 1-1 personalization and marketing segmentation. Online filtering can also be done using it. There are three top-level categories to choose from. We have three top-level category structures to choose from, whether you require the IAB taxonomy’s deep categorization of a website or prefer a simpler category structure. Our website categorization API uses machine learning (ML), to scan a website's meta tags and content. It extracts the text from the site to classify it and assigns up three categories using natural language processing (NLP).