wink-eng-lite-model
Fuse
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wink-eng-lite-model | Fuse | |
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5 | 60 | |
10 | 17,504 | |
- | - | |
0.0 | 6.1 | |
almost 3 years ago | about 1 month ago | |
JavaScript | ||
MIT License | Apache License 2.0 |
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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.
Fuse
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Show HN: A fast, accurate and multilingual fuzzy search lib for the front end
oh very cool. would love to see the comparison/benchmark against the library I've used in projects for years (Fuse - https://github.com/krisk/Fuse).
Keep up the great work!
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Releasing my first side project: Flag Finder!
It has the merit of being accomplished. Good work ! You can use https://fusejs.io/ to improve your search feature ;)
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I have an array of objects and I want to add a "fuzzy search" method. Please help me choose a strategy.
I had a very similar task and solved it with https://fusejs.io/ and was very happy with the result. Great performance and was able to get the exact config I wanted very easily.
- More efficient way of searching through multiple children of a JSON
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how to make a search bar actually function (as in actually search elemts from <div> in my nav bar)
You can use this https://fusejs.io/ library to implement a fuzzy search but you’ll have to put all the content you want to be searchable in a json along with the url it’s in so when you click on a result, you can redirect the user to the page you want.
- Fuse.js - a powerful, lightweight fuzzy-search library, with zero dependencies
- Fuse.js is a powerful, lightweight fuzzy-search library, with zero dependencies
- What is your go to client-side fuzzy searching library?
- Best solution for typing suggestions with a huge array?
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Search box and results component
Check the docs for your component system's text input component. Not all have specific autocomplete Search components like MUI, you might have to make your own out of your library's text input and menu components plus a fuzzy search library like Fuse.js.
What are some alternatives?
afinn - AFINN sentiment analysis in Python
flexsearch - Next-Generation full text search library for Browser and Node.js
wink-nlp - Developer friendly Natural Language Processing ✨
Next.js - The React Framework
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 !
fuzzyset.js - fuzzyset.js - A fuzzy string set for javascript
malaya - Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/
node-sqlite3 - SQLite3 bindings for Node.js
BERTweet - BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
fzf-for-js - Do fuzzy matching using FZF algorithm in JavaScript
trankit - Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
Vue.js - This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core