wink-nlp VS wink-eng-lite-model

Compare wink-nlp vs wink-eng-lite-model and see what are their differences.

wink-nlp

Developer friendly Natural Language Processing ✨ (by winkjs)
Natural Language Processing NLP tokenize sbd sentence-boundary-detection negation-handling sentiment-analysis pos-tagging Ner named-entity-extraction custom-entity-detection word-vectors Visualization pattern-matching wink wink-nlp Chatbot HacktoberFest bm25 vectorizer
Source Code
winkjs.org
Suggest alternative
Edit details

wink-eng-lite-model

English lite language model for wink-nlp. (by winkjs)
NLP Natural Language Processing Model English Winkjs Winknlp Tokenization sentence-boundary-detection negation-handling pos-tagging Ner named-entity-recognition sentiment-analysis custom-entity-detection
Source Code
winkjs.org
Suggest alternative
Edit details
SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
surveyjs.io
featured
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
wink-nlp wink-eng-lite-model
21 5
1,143 10
1.0% -
8.1 0.0
9 days ago almost 3 years ago
JavaScript
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

wink-nlp

Posts with mentions or reviews of wink-nlp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-10.

wink-eng-lite-model

Posts with mentions or reviews of wink-eng-lite-model. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-03.
  • SuperCharge Input Field for a Dictionary Website
    4 projects | /r/AskProgramming | 3 May 2022
  • How to run NLP on a PDF file?
    2 projects | /r/LanguageTechnology | 26 Oct 2021
    winkNLP’s English language lite model uses a pre-trained state machine to recognize named entities.
  • How to tokenize a string?
    1 project | dev.to | 9 Feb 2021
    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:
  • How to do sentiment analysis?
    1 project | dev.to | 18 Jan 2021
    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%.
  • How to find date and time in text?
    1 project | dev.to | 4 Jan 2021
    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.

What are some alternatives?

When comparing wink-nlp and wink-eng-lite-model you can also consider the following projects:

nlp.js - An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

afinn - AFINN sentiment analysis in Python

ml-classify-text-js - Machine learning based text classification in JavaScript using n-grams and cosine similarity

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 !

Recognizers-Text - Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text

malaya - Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/

DataTurks - ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

BERTweet - BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

wink-mqtt-rs - MQTT Relay for the Jailbroken Wink Hub v1, with Home Assistant MQTT autodiscovery support

trankit - Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

echarts4r - 🐳 ECharts 5 for R

nlp_compromise - modest natural-language processing

wink-nlp vs nlp.js wink-eng-lite-model vs afinn wink-nlp vs ml-classify-text-js wink-eng-lite-model vs nlphose wink-nlp vs Recognizers-Text wink-eng-lite-model vs malaya wink-nlp vs DataTurks wink-eng-lite-model vs BERTweet wink-nlp vs wink-mqtt-rs wink-eng-lite-model vs trankit wink-nlp vs echarts4r wink-eng-lite-model vs nlp_compromise