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

To give you some further inspiration, you might want to check out the NLTK (Natural Language Toolkit - https://www.nltk.org/ ). It is a huge collection of tools for language data processing in general. Source: almost 2 years ago

I work mostly in the NLP space, so other libraries I like are spaCy, nltk, and pynlp lib. Source: over 2 years ago

Learn some Python and play around with existing AI libraries. Go through things like nltk.org and some freecodecamp tutorials to get some hands-on knowledge. Follow this sub and watch the kinds of projects people are creating. Source: over 3 years ago