Natural Language Understanding (NLU) Software

Microsoft Knowledge Exploration Service is a service that offers a fast and effective way to add interactive search and refinement to applications.

Julia package for text analysis. Contribute to JuliaText/TextAnalysis.jl development by creating an account on GitHub.

Tap into the wealth of academic content in the Microsoft Academic Graph using the Academic Knowledge API:

Enhance your apps with the Spell Check API from Bing. This API helps you create spell check queries and catch spelling mistakes as users are typing.

Microsoft Language Understanding Intelligent Service (LUIS) is a service that enable user to quickly deploy an HTTP endpoint. It will interpret sentences being send and interpret them.

Azure Cognitive Services brings AI within reach of every developer through a family of APIs that don’t require machine-learning expertise.

Show users intelligent search suggestions with the Bing Autosuggest API. Test out the autocomplete API and search suggestion tool to see how it works.

Easily integrate real-time speech translation into your apps.

Contribute to IllinoisCogComp/illinois-cogcomp-nlp development by creating an account on GitHub.

Azure Translator Text API is a cloud-based machine translation service that can support multiple languages, making it incredibly useful for a variety of applications. It can be used to build websites, tools, applications, or any other solution that requires support for multiple languages. The service is also easy to integrate with existing systems, and can be accessed through a simple API call. Additionally, the API can provide not only translations, but also text interpretation and language detection for more comprehensive language support. With Azure Translator Text API, developers can create applications that are able to more easily interact with and understand users of different languages.

IBM Watson Natural Language Classifier is a service that enables developers without a background in machine learning or statistical algorithms to create natural language interfaces.

IBM Watson Tone Analyzer is a service that uses linguistic analysis to detect three types of tones from text. Emotions identified include anger, fear, joy, sadness, and disgust.

Stanford Pattern-based Information Extraction and Diagnostics (SPIED) is a pattern-based entity extraction and visualization.

IBM Watson NLU is a service on the IBM Cloud that enables you to analyze text to extract metadata from content such as concepts, entities and sentiment

Learn how your subject matter experts, without knowing how to code, can teach Watson the language of your industry and then integrate Watson’s new knowledge into multiple applications.

Analyze text with AI using pre-trained API or custom AutoML machine learning models to extract relevant entities, understand sentiment, and more.

As technology continues to advance, the demand for machine learning and artificial intelligence solutions is growing. From self-driving cars to virtual assistants, these technologies are becoming an integral part of the daily lives. And with this growth comes the need for collaboration and community building within the field. The platform provides a space for machine learning experts, researchers, and enthusiasts to come together and collaborate on creating models, datasets, and applications. With unlimited hosting capabilities, users can easily store and share their work with others in the community. But Hugging Face is more than just a storage platform. It's also a place where individuals can showcase their skills and expertise in machine learning. Users can collaborate on various types of data, including text, images, videos, audio, and even 3D models. This diversity allows for a wide range of projects and applications to be created and shared with the community. The Hugging Face community is constantly growing and evolving as more and more individuals join in the pursuit of building a better future through AI. With a professional tone and an emphasis on collaboration and knowledge sharing, we strive to foster a positive and inclusive environment for all members.

Sentiment analysis, stemming and lemmatization, part-of-speech tagging and chunking, phrase extraction and named entity recognition.

We make a suite of AI developer tools that emphasize usability, performance and data privacy. We’re proud to be part of the best-in-class Python data science ecosystem. Most of our software is open-source, and the components that aren’t are just as privacy-conscious and developer…

Use our Text Analysis APIs to derive high-end information from your data and solve problems like building chatbots, social media analytics, process automation.