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We'll use the "natural" NLP library; follow the previous session to understand how to set up your environment. - Source: dev.to / almost 2 years ago
Several NLP libraries are available, each offering distinct features and functionalities. One popular choice in the JavaScript ecosystem is the Natural Language Toolkit for JavaScript (NLP.js), which provides a wide range of NLP capabilities. - Source: dev.to / almost 2 years ago
For a JS based approach you could try NLP libraries like this one: https://github.com/axa-group/nlp.js. Source: about 2 years ago
To determine which chatbot intent is the best match for the user textual input, we rely on nlp.js (in JS) though we are in the process of moving to our new Python NLP server for better optimization of the needs of eCommerce conversations. A preprocessor language model is also used to improve the chances of a matching. - Source: dev.to / almost 3 years ago
Probably not. In fact, in Xatkit we aim to be a chatbot orchestration platform exactly to avoid reinventing the wheel and the non-invented here syndrome. So, in most cases, other existing platform (like DialogFlow or nlp.js) will work just fine. But we have also realized that there are always some particularly tricky bots for which you really need to be able to customize your engine to the specific chatbot... - Source: dev.to / about 3 years ago
NLTK - NLTK is a platform for building Python programs to work with human language data.
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spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
Google Cloud Natural Language API - Natural language API using Google machine learning
Microsoft Bing Spell Check API - Enhance your apps with the Bing Spell Check API from Microsoft Azure. The spell check API corrects spelling mistakes as users are typing.