Table of contents
Multilingual Support
NLP.js provides support for more than 40 languages out of the box, which makes it highly versatile for international applications.
Ease of Use
The library has a relatively easy learning curve with comprehensive documentation and examples, making it accessible for beginners in NLP.
Built-in Features
NLP.js includes a wide range of built-in functionalities such as sentiment analysis, entity extraction, and intent recognition, allowing developers to implement complex NLP tasks efficiently.
Integration Capabilities
It is designed to be easily integrated with other tools and platforms, facilitating seamless use in various projects, including chatbots and conversational agents.
Open Source
As an open-source project, NLP.js encourages community contributions, which help improve the library and ensure it stays up-to-date with the latest NLP technologies.
We have collected here some useful links to help you find out if NLP.js is good.
Check the traffic stats of NLP.js on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
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The latest comments about NLP.js on Reddit. This can help you find out how popualr the product is and what people think about it.
We'll use the "natural" NLP library; follow the previous session to understand how to set up your environment. - Source: dev.to / about 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 / about 2 years ago
For a JS based approach you could try NLP libraries like this one: https://github.com/axa-group/nlp.js. Source: over 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 / about 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 / over 3 years ago
Also, if security is so important, you may want to configure Xatkit to work with nlp.js (see our wiki for instructions( so that even the intent matching part is done locally without sending the input text to the cloud (as it would happen if you decide to use, for instance, a NLP engine such as DialogFlowx). Source: almost 4 years ago
Nlp.js - Building bots, with entity extraction, sentiment analysis, automatic language identify, and more. - Source: dev.to / about 4 years ago
Since the previous release, NLP.js pushed a lot of work and has released a major version, moving from a monolithic library to multiple independent packages. So I spent some time to make Leon's NLP compatible to the latest changes. - Source: dev.to / over 4 years ago
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