wink-eng-lite-model
nlp_compromise
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wink-eng-lite-model | nlp_compromise | |
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5 | 11 | |
10 | 11,195 | |
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0.0 | 9.3 | |
almost 3 years ago | 4 days ago | |
JavaScript | ||
MIT License | MIT License |
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wink-eng-lite-model
- SuperCharge Input Field for a Dictionary Website
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How to run NLP on a PDF file?
winkNLP’s English language lite model uses a pre-trained state machine to recognize named entities.
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How to tokenize a string?
To tokenize a string using winkNLP, read the text using readDoc. Then use the tokens method to extract a collection of tokens from the string. Follow this with the out method to get this collection as a JavaScript array. This is how you can tokenize a string:
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How to do sentiment analysis?
winkNLP's English language lite model uses ML-SentiCon as a base with further training. For emojis it uses the Emoji Sentiment Ranking. Together, they deliver an f-score of about 84.5%.
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How to find date and time in text?
Raw texts may contain many named entities like time, money, and hashtags. The English language lite model for winkNLP finds entities spanning multiple tokens by employing pre-trained finite state machine.
nlp_compromise
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Improve Download Speeds with Concurrency
To go around this problem, I leveraged the Natural Language Processing library we are using in the project (Compromise) to make sure that each chunk was less than a specified character length, and the chunks ended with a full sentence (as long as the sentence itself wasn't longer than the limit).
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Microsoft.Recognizers.Text for JavaScript
It's a part of the underpinnings of LUIS, Microsoft's Azure service for language understanding, and indeed part of building things like chatbots.
An interesting comparison is that Microsoft.Recognizers.Text is a cross-platform cousin to JS library compromise/one: https://compromise.cool/
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JavaScript library that converts a string to gender-neutral language?
I’m not sure how much my suggestions answer your original question, but in the pursuit of proper grammatical structure when trying to rewrite speech, compromise [0] might be of use to you. I’ve only played around with it for a few hours at most, but from my limited experience it is a very effective (if verbose and/or a little bloated in it’s API) tool for language analysis. With some tomfoolery I’m confident you could combine it with the GP’s recommendation of alexjs to replace strings slightly-less-naively.
https://github.com/spencermountain/compromise
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10 Mind Blowing JavaScript libraries Of 2022 (I mean it Javascript Noob)
(7) Compromise
- SuperCharge Input Field for a Dictionary Website
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How to recreate Things for Mac Time Picker using React Aria?
yeah, i do know 2 libraries that do this so i'm gonna try them: sherlock.js & compromise dates
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Thesis with RN app powered by Machine Learning
compromise is a great library for natural language processing which will run in React Native (it's pure javascript), though I believe it only understands English because it was populated using English vocabulary.
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Introducing VIBAE - an engine for point and click text adventures
I discovered an excellent little natural-language-processing library for javascript called compromise.js. Integrating it into twine was not hard at all -- I just used the same techniques described in u/HiEv's Sample Code for integrating jQuery UI. Others have used this same library to develop parser game mechanics -- I am really excited about the possibility of a finished product where the player can execute commands by typing them in plain english.
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Reasons Why JavaScript is Awesome
Named Entity Extraction identifies entities like names, locations, or phone numbers inside a given text. Compromise is a JavaScript package that we can use that allows us to not only extract entities in a text but also identify what types of entities they are. Here is a sample program that allows you to enter a text file into the input field, and it would extract and identify any recognizable entities in that text.
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Best hockey insider
I use a natural language processing library called compromise and a tiiiiny bit of RegEx here and there.
What are some alternatives?
afinn - AFINN sentiment analysis in Python
SurveyJS - Free Open-Source JavaScript form builder library with integration for React, Angular, Vue, jQuery, and Knockout that lets you load and run multiple web forms, or build your own self-hosted form management system, retaining all sensitive data on your servers. You have total freedom of choice as to the backend, because any server + database combination is fully compatible.
wink-nlp - Developer friendly Natural Language Processing ✨
Expounder - A library for explaining things in HTML.
nlphose - Enables creation of complex NLP pipelines in seconds, for processing static files or streaming text, using a set of simple command line tools. Perform multiple operation on text like NER, Sentiment Analysis, Chunking, Language Identification, Q&A, 0-shot Classification and more by executing a single command in the terminal. Can be used as a low code or no code Natural Language Processing solution. Also works with Kubernetes and PySpark !
Open MCT - A web based mission control framework.
malaya - Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/
InversifyJS - A powerful and lightweight inversion of control container for JavaScript & Node.js apps powered by TypeScript.
BERTweet - BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
Selectable - Touch enabled selectable plugin inspired by the jQuery UI widget.
trankit - Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
json3