Alternatives to Lymba

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.

Speechmatics is the most accurate and inclusive speech-to-text API ever released. Speechmatics is the world’s leading expert in Speech Technology, combining the latest breakthroughs in AI and ML to unlock the business value in human speech. Businesses use Speechmatics worldwide to accurately understand and transcribe human-level speech into text regardless of demographic, age, gender, accent, dialect, or location in real-time and on recorded media. Combining these transcripts with the latest AI-driven speech capabilities, businesses build products that utilize summarization, topic detection, sentiment analysis, translation, and more. How is Speechmatics different? * The most accurate speech recognition on the market * 55 languages with vast accent and dialect coverage * Cloud-based or on-premises deployment options for data security * Real-time transcription with low latency and high accuracy * Real-time translation with 69 language pairs * Speech Understanding features such as Summaries, Sentiment, Topic Detection, Chapters, Audio Events * Fast and secure transcriptions for pre-recorded audio * Automatic translation and language identification * A culture of R&D in deep learning and speech recognition

Amazon Textract, a fully managed machine-learning service, automatically extracts text from scanned documents. It goes beyond optical character recognition (OCR), to identify, understand and extract data from forms or tables. Today, many companies extract data from scanned documents such as PDF's and tables using manual data entry. This can be slow, expensive, and prone to errors. Or, they use OCR software which requires manual configuration and must be updated every time the form is modified to be usable. Textract uses machine-learning to automatically read and process any type document. It extracts text, forms, tables, and other data without any manual effort or custom code. Textract allows you to quickly automate manual document activities and process millions of pages in just hours.

Cortical.io offers AI-based Natural Language Understanding solutions such as Contract Intelligence or Message Intelligence that enable enterprises to search, extract, analyze, and annotate key information from any type of unstructured text. The Cortical.io artificial Intelligence-based solutions can quickly be trained unsupervised in any business domain's specialized vocabulary and can work across multiple languages. They have been used in a variety of business use cases at several Fortune 500 companies.

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

Amazon Comprehend is a HIPAA-eligible, natural language processing (NLP), service that uses machine-learning to extract health data form medical text. No machine learning experience is necessary. Today, a lot of health data is found in free-form medical texts like doctor's notes, clinical trials reports, and patient records. Manually extracting data can be time-consuming and automated rule-based attempts at extracting data won't capture the whole story because they don't take context into consideration. The data is not usable for large-scale analytics that will help improve the healthcare and life sciences industry, patient outcomes, and increase efficiencies.

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.

SparkCognition, an industrial AI company, has created a natural language processing solution that automates the workflows of unstructured data within companies so that humans can concentrate on high-value business decisions. DeepNLP uses machine learning to automate the retrieval, classification, and analysis of information. DeepNLP integrates with existing workflows to allow organizations to respond more quickly to changes in their businesses and get quick answers to specific queries.

Business data can be found in many formats and from different sources. Many business data is not structured or semi-structured. IDP (Intelligent Document Processing), which uses AI and programmable automation (such repetitive tasks) to convert business data into usable, structured formats and for consumption by downstream system. Blox.ai uses Natural Language Processing (NLP), Computer Vision, (CV) and machine learning tools to identify, label and extract relevant data from any type. The AI then converts the extracted information into a structured format and creates a model that can be used for all types of similar documents. Blox.ai is used to reconcile data based upon business requirements and push the output to downstream system automatically.

The Accern No-Code NLP Platform empowers citizen data scientists to extract insights from unstructured data, minimize time to value and maximize ROI with pre-built AI/ML/NLP solutions. Recognized as the first No-Code NLP platform and industry leader with the highest accuracy scores, Accern also enables data scientists to customize end-to-end workflows that enhance existing models and enrich BI dashboards.

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.

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

There are many e-mails you receive daily, but only a few that need your immediate attention. The email classifier below will help you keep an organized inbox. We summarize customer complaints and notify #customersupport on Slack. #customer-relation is for delayed orders. You want to be informed about what happened after a customer call with your support representative. Instead of listening to the entire call, create a Waveline flow which summarizes the key points. Many people have writer's block when they write text. Waveline allows you to quickly build an internal tool that automatically collects information from LinkedIn and Google searches about the recipient to create a highly personalized draft. Unstructured data can be repackaged into a structured format. Waveline uses LLMs for extracting information from text, images and other sources.

At Iris.ai we have spent the last 6 years building an award-winning AI engine for scientific text understanding. Our algorithms for text similarity, tabular data extraction, domain-specific entity representation learning and entity disambiguation and linking measure up to the best in the world. On top of that, our machine builds a comprehensive knowledge graph containing all entities and their linkages to allow humans to learn from it, use it and also give feedback to the system. The Iris.ai Researcher Workspace is a flexible tool suite that allows to approach a project in a variety of ways. Modules include content based explorative search, machine analysis of document sets, extracting and systematizing data points, automatically writing summaries of multiple documents - and very powerful filters based on context descriptions, the machine’s analysis, or specific data points or entities. The Iris.ai engine for scientific text understanding is a powerful interdisciplinary system that can be automatically reinforced on a specific research field for much more nuanced machine understanding - without human training or annotation.

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.

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.

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.

Toxicity on the internet is a serious problem for platforms and publishers. Online abuse and harassment can silence important voices, forcing marginalized people to leave the conversation. Publishers, platforms and individuals can use the Perspective platform to power a wide variety of different use-cases, such as in comment sections, forum posts, or text-based conversations. Developers can integrate and customize the Perspective platform for a variety of audiences. Moderators can use Perspective to quickly review and prioritize comments that have been reported. Perspective can provide feedback to commenters that post toxic comments. Developers create tools that allow readers to control what comments they see. For example, hiding comments. Perspective increases engagement by helping platforms create safe environments for discussion and by helping individuals contribute healthier online.

Your language data can be turned into insights quickly and easily with no code. Join over 10,000 companies, researchers, marketers, and other professionals who use Speak to reduce manual labor, unlock competitive advantage, strengthen customer relationships, and make better business decisions. Speak allows for easy uploading audio, video, and other data to be used in qualitative research, academic research and marketing research. You can convert audio and video to text using automated transcription, import CSVs to bulk analyze, capture recordings with an embedded recorder, create directly within Speak, or use popular integrations that automate capture. Speak can help you find actionable, competitive insights in data.

SentioAI uses machine learning, natural language processing and predictive analytics to identify the most important documents from a given document population with unprecedented speed and accuracy. SentioAI solves Big Data's classification problem in a unique, proprietary way. The technology is able to work when other technologies fail and delivers faster results and costs less than other technologies. SentioAI provides a ranked list of documents, ranging from the most likely to be relevant to the most likely to be. The software allows users to review and tag a portion of the data set. This data is used to train SentioAI prediction engine so documents are ordered according to their relevancy. The system gets more accurate with each new document. SentioAI determines when a predictive engine has been trained and then runs the models on the complete data set to generate the results.

The easiest way to extract data points in unstructured text. You can simultaneously search through prospectus, research reports, customer requests, feedback, and other data sources to find, track, and analyze custom-defined data points. Access over 100 unique data points to help you manage your risk and investment strategy. You can search and create custom data sets using EDGAR and other sources. Streamline your deal underwriting process. Streamline your capital markets, structured finance legal flow. Instantly extract over 100 data points to help you categorize, compare, and collaborate with clients. Unstructured text from PubMed and clinical trial data can be deconstructed to reveal diseases, genes, proteins, symptoms, and more. All your research is in one place. Our Chrome plug-in allows you to import research from any source directly into your workspaces. Digital PDFs can be made machine-readable by our Chrome plug-in. JSON and HTML output with detailed section hierarchy and multi-level tables. Lists, header, footer, and watermarks are removed.

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.

RapidMiner is redefining enterprise AI so anyone can positively shape the future. RapidMiner empowers data-loving people from all levels to quickly create and implement AI solutions that drive immediate business impact. Our platform unites data prep, machine-learning, and model operations. This provides a user experience that is both rich in data science and simplified for all others. Customers are guaranteed success with our Center of Excellence methodology, RapidMiner Academy and no matter what level of experience or resources they have.

Combine Data Science, Business Intelligence and Data Management Capabilities into One Integrated, Self-Serve Platform. Analance is an end-to-end platform with robust and salable features that combines Data Science and Advanced Analytics, Business Intelligence and Data Management into a single integrated platform. It provides core analytical processing power to ensure that data insights are easily accessible to all, performance remains consistent over time, and business objectives can be met within a single platform. Analance focuses on making quality data into accurate predictions. It provides both citizen data scientists and data scientists with pre-built algorithms as well as an environment for custom programming. Company - Overview Ducen IT provides advanced analytics, business intelligence, and data management to Fortune 1000 companies through its unique data science platform Analance.

A scalable and intelligent AI platform designed to simplify data extraction in unstructured documents. Hamta is the solution to your manual invoicing problems. Hamta's ready-to-use invoice models will captivate you! Hamta automates data extraction and transformation to readable user formats. This eliminates the need for manual receipt management. Hamta's ready-to-use data processing models require no human interaction.

Doctors spend two-thirds of their time documenting a patient's treatment. They spend far less time with patients or conducting interviews. Averbis is developing Speech2Structure, a software solution that allows doctors to spend more time with patients. The software allows for the recording of patient documentation live by voice and then structured on-the fly. Speech2Structure is able to recognize and correct many linguistic variations, including negations, suspected diagnoses, past diagnoses, and others. When recognizing diagnoses. Also, the corresponding diagnoses are made from microbiology or pathological laboratory results. Recorded medications can also be used to help diagnose.

The docBrain platform combines machine learning, data science and DevOps to create a document-centric productive purpose. Deep learning technology makes it possible to build AI models from scratch and create unique solutions for your specific document problems. docBrain's pre-trained models provide years of learning and a low return on investment. Whether you use the pre-trained models or train them yourself, docBrain's solutions will seamlessly integrate with your business systems. docBrain was developed in-house to address Moonoia's document processing problems. These were mainly caused by manual data validation errors that were costly and slowing down the end-to-end process, making automation impossible. OCR technologies on the market were not able to achieve the accuracy required for straight-through processing, especially when dealing with handwritten, unstructured, or low-quality documents.

Manual review of customer contracts to determine revenue accounting impact can be time-consuming and painful. Each contract requires that accountants spend hours creating and populating new contract review lists with metadata, dates, fees, and non-standard terms. This is time that could be used to innovate processes. Klarity automates all aspects of this process. Klarity pre-populates a checklist to automatically review all contracts. The application includes all the necessary tools to review contracts and provide notifications, accounting impact, notes, as well as an automated workflow. Klarity allows organizations to focus on strategic value by focusing on analysis and audit documentation, rather than the tedious manual work. For a smoother contract review process and a quicker month-end close, create customized workflows for the first- and second-level reviewers.

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.

Make smarter, faster and more informed decisions Enterprise Document Intelligence Platform turns data into actionable insights. Our platform is a combination of cognitive Machine Learning and Natural Language Processing algorithms that automatically classify, extract and enrich relevant information from your documents. The solution is provided as a service to reduce ownership costs and speed up time to value. How it works CLASSIFY. Ingest structured, semistructured, and unstructured documents. Identify and classify documents using semantic understanding of language and visual cues. Extract. Extracts words, phrases, and sections from printed, handwritten, or tabular data. Detects the presence or absence of a page annotation or signature. You can easily review the extracted data and make corrections. AI uses human corrections for learning and improvement. Enrich. Enrich.

ScrapeStorm, an AI-powered visual web scraping software, is available. No manual operation required for intelligent data identification. ScrapeStorm uses artificial intelligence algorithms to identify List Data, Tabular Data, and Pagination Buttons. No need to set any rules. Just enter the URLs. Automatically identify forms, lists, links, images and prices. You can simply click on the webpage following the prompts. This is exactly the same as manually browsing the webpage. It can generate complex scraping guidelines in just a few steps. Any webpage data can be easily scouted. Enter text, click, move mouse and drop-down box. Scroll page, wait for loading, then loop operation. Finally, evaluate conditions. The scraped data may be exported to a local or cloud file. You can use the following support types: Excel, CSV and TXT; HTML, MySQL, MongoDB; SQL Server; PostgreSQL; WordPress; and Google Sheets.

Butler is a platform that allows developers to turn AI into simple APIs. In minutes, you can create, train, and deploy AI Models. No AI experience is required. Butler's user interface is easy to use and allows you to create a complete labeled data set. You can forget about the tedious labeling. Butler automatically selects and trains the right ML model for you. There is no need to spend hours researching which models are the most effective. Butler offers a wide range of customization options that allow you to tailor your model to meet your needs. Don't waste time constructing custom models from scratch or modifying pre-defined models. Any image or document that is not structured can be parsed to extract key data fields and tables. With lightning fast document parsing APIs, you can free your users from the tedious task of manually entering data. Information can be extracted from text, including names, terms, and places. Your product should be able to understand your users as well as you.

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!

According to industry analysts, unstructured customer data is the largest source of unprocessed or underutilized customer data. This is growing rapidly in today’s customer-centric world. It is crucial to harness this data in the age of Big Data, where corporate data doubles every three month. EpiAnalytics Artificial Intelligence solutions (AI) support your business so you can get more value from your existing data, wherever it is. Our solutions can increase sales, improve data quality and compliance, as well as increase operational efficiencies. To create a next-generation VIN decoder, our legacy VINoptions product has been combined with its AI and VIN engineering capabilities. ChromeData VIN Descriptions is the industry standard for accurately identifying and describing a vehicle based upon its VIN.

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.

A smart automation tool for communication management. QoreMail, an intelligent automation solution, allows you to automate low added value business processes without human intervention. QoreMail transforms structured and non-structured data into highly contextualized, meaningful information assets. It does this with unmatched accuracy and rapidity. You will increase productivity in your critical activities and reduce your operating costs. (ROI within a year). QoreMail analyzes all incoming messages and detects critical information that is relevant to your organization. This includes account numbers, project numbers, file numbers, product codes, invoice numbers, dates, people's names, departments, etc.

A powerful labeling platform for all stages and types of ML development. We leverage a suite of industry-leading computer vision algorithms to automatically detect and classify the content of your images and videos. Creating detailed segmentation information is a time-consuming process. Machine assistance speeds up task completion by as much as 70%, saving you both time and money. We leverage ML to propose labels that accelerate human labeling. This includes computer vision models to automatically detect, localize, and classify entities in your images and videos before handing off the task to our workforce. Automatic labelling reduces workforce costs and allows annotators to spend their time on the more complicated steps of the annotation process. Our video annotation tool is built to handle 4K resolution and long-running videos natively and provides innovative features like interpolation, object proposal, and entity resolution.

ResoluteAI's secure platform allows you to search multiple databases, including scientific, regulatory and business databases. Combining interactive analytics with downloadable visualizations, you will be able to make connections that lead directly to breakthrough discoveries. ResoluteAI's enterprise product for science is Nebula. Your institutional knowledge is enhanced by structured metadata and a variety of AI capabilities. This includes NLP and OCR, image recognition, transcription, and other AI capabilities that make your proprietary information easily searchable and accessible. Nebula gives you the ability to unlock hidden value in your research and experiments, market intelligence, acquired assets, and other research. Structured metadata is created from unstructured text. This includes semantic expansion, conceptual searching, and document similarity searches.

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.

Use NeuralSpace's enterprise-grade APIs for speech & text AI in 100+ languages. Intelligent Document Processing can reduce manual tasks by 50%. Data can be extracted, understood, and categorised from any document, regardless of its quality, layout, file type, or format. Free your team from manual work so they can focus on what's important. Advanced speech and text AI can make your products accessible to all users. NeuralSpace allows you to train and deploy large language models. Our low-code, user-friendly APIs make integration easy. We provide the tools, you bring your vision to reality.

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.

Azure AI Content Understanding transforms unstructured, multimodal data into valuable insights. From text, audio, video, and images, you can derive meaningful insights. AI-based methods, such as scheme extraction or grounding, can be used to produce high-quality and precise data for downstream applications. Streamline and unify data pipelines from different data types to create a single workflow, reducing costs and speeding up time to value. Learn how businesses and call centers can use call recordings to generate valuable insights to track KPIs and enhance product experiences and respond to customer queries more quickly and accurately. Azure AI offers a variety of AI models that can transform data from a variety of input modalities such as images, audio or video into a structured output which can be processed and analyzed easily by downstream applications.

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.

DeepScribe’s AI-powered scribe captures the natural conversation between a clinician and patient and automatically writes medical documentation, allowing clinicians to focus on patient care instead of note-taking. Through an easy-to-use mobile app, DeepScribe records the natural clinical encounter and transcribes it in real time. Our proprietary AI then extracts the medical information from the transcript, classifies it into a standard note, and then integrates that note directly into a clinician’s electronic health record system. Unlike traditional scribes, dictation tools, or other solutions, the ambient nature of DeepScribe means it doesn’t intrude on the patient visit or disrupt the clinical workflow. Providers can simply talk to their patient like normal, then review their notes after the visit and sign-off in their EHR. DeepScribe handles documentation, charting, and even populates suggested diagnostic coding based on the information extracted from the visit. With DeepScribe’s easy to use, efficient, and powerful AI scribe, clinicians can bring the joy of care back to medicine.

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.

You can choose from our library and fine-tune or create your own capabilities to analyze, process, and present text, audio, and video at large scale. Incorporate advanced NLP in your app or workflow. You can choose from the existing library or create your own. With just one API call, you can summarize, tag, and analyze language using stackable, composable NLP blocks. These blocks are built on state of the art models. Our powerful Custom-Skill engine allows you to create and fine-tune custom Language skills from your data. Only 5% of the world’s population can speak English as their first language. One AI's capabilities can be used in multiple languages. You can build a podcast platform, CRM or content publishing tool using One AI's multilingual capabilities.

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.

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

Baidu Natural Language Processing is a cutting-edge technology that uses Baidu's vast data collection to develop natural language processing. Natural Language Processing is open to several core capabilities and solutions. These include more than ten types of abilities, such as sentiment analyses, address recognition, or customer comments analysis. Lexical analysis, which is based on word segmentation and part-of speech tagging technology, allows you to find basic language elements and eliminate ambiguity. It also supports accurate understanding. Semantic similarity can be calculated using deep neural networks, high-quality internet data, and vectorization to meet the requirements of business scenarios for high precision. Word vector representation is able to calculate texts by vectorizing words. It can help you complete semantic mining quickly.

Natural Language Processing is Artificial Intelligence. It allows computers to understand and analyze human language. Pryon's AI can read, organize, and search in ways that were previously impossible for humans. This powerful ability is used in every interaction to both understand a request as well as to retrieve the correct response. The sophistication of the underlying natural languages technologies is directly related to the success of any NLP project. Your content can be used in chatbots, search engines, automations, and other ways. It must be broken down into pieces so that a user can find the exact answer, result, or snippet they are looking for. This can be done manually or by a specialist who breaks down information into intents or entities. Pryon automatically creates a dynamic model from your content to attach rich metadata to each piece. This model can be regenerated in a click when you add, modify or remove content.