wink-eng-lite-model
fuzzyset.js
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| wink-eng-lite-model | fuzzyset.js | |
|---|---|---|
| 5 | 3 | |
| 10 | 1,362 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 3 years ago | over 2 years ago | |
| JavaScript | ||
| MIT License | GNU General Public License v3.0 or later |
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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.
fuzzyset.js
- SuperCharge Input Field for a Dictionary Website
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Javascript fuzzy search that makes sense
I'm looking for a fuzzy search JavaScript library to filter an array. I've tried using fuzzyset.js and fuse.js, but the results are terrible (there are demos you can try on the linked pages).
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Doing the impossible, monetising Chrome Extensions
> 2. How much can one reasonably expect to earn per user per month or year in your experience? (My extension is by no means mission critical but it solves a (simple) problem rather elegantly IMHO).
There's no way to tell for sure! It really depends on the value the extension provides, your market, exposure and reviews on the Chrome store, etc.
I can say that one of the extensions that uses ExtensionPay is a really simple utility that allows switching between recently used tabs in Chrome (https://chrome.google.com/webstore/detail/alt-%20-q-switch-r...) but users love it and it makes a surprising amount of money!
But all that is ultimately speculative for your extension. One reason I made ExtensionPay was to lower the barrier to making paid extensions enough so instead of speculating you could just try it out and see what happens!
> 1. Is there a socially acceptable path to go from free to non-free?
From what I've seen there will be a very loud but very small minority of users that will get angry and leave bad reviews. I think if you try to make these users happy (maybe by giving them free access?) and let the others know why you're asking them to pay then it will go alright. Here's what I wrote about charging for a previously-free JavaScript library: https://github.com/Glench/fuzzyset.js#license
What are some alternatives?
afinn - AFINN sentiment analysis in Python
Fuse - Lightweight fuzzy-search, in JavaScript
wink-nlp - Developer friendly Natural Language Processing ✨
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 !
malaya - Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/
BERTweet - BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
trankit - Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
nlp_compromise - modest natural-language processing