malaya
wink-nlp
| malaya | wink-nlp | |
|---|---|---|
| 1 | 21 | |
| 457 | 1,148 | |
| 1.3% | 1.5% | |
| 9.0 | 8.1 | |
| 8 days ago | 6 days ago | |
| Jupyter Notebook | JavaScript | |
| MIT License | MIT License |
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.
malaya
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Public Sentiment regarding COVID19 from Malay Tweets vs Daily Case Numbers of Malaysia
Hey guys! I've been doing some web scraping on Malay tweets regarding COVID19. I decided to do some sentiment analysis using a NLP model (model is publicly available at https://github.com/huseinzol05/malaya). What the model does is taking in a chunk of text and outputs a sentiment score between 0 to 1 (1 being the text has 100% positive sentiment and 0 being the text is 100% negative). The model is not 100% accurate but it is considered to be comparable to other state-of-the-art models.
wink-nlp
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Show HN: Next-token prediction in JavaScript – build fast LLMs from scratch
This is awesome, thanks. I've been messing with wink's NLP library (https://winkjs.org/wink-nlp/) to transform user queries and format responses so I can make a proper chat bot - will see what I can learn from these!
- Show HN: WinkNLP introduces key sentence extraction
- WinkNLP's recent feature — key sentence extraction delivers a performance of over 450,000 tokens/second or 1500 sentences/second on Apple M1/16GB
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How to visualize timeline of a Wiki article?
Automatic generation of the timeline — a graphical representation of a time period, on which important events are marked — from a Wikipedia article is a fascinating idea and very useful in quickly grasping the historical perspective. This post outlines the approach to create a well formatted timeline from any Wikipedia article using WinkNLP’s API and Named Entity Recognition (NER) feature:
- WinkNLP delivers 600k tokens/second speed on browsers (MBP M1)
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Hacker News top posts: Nov 24, 2022
Show HN: WinkNLP delivers 600k tokens/second speed on browsers\ (2 comments)
- Show HN: WinkNLP delivers 600k tokens/second speed on browsers (MBP M1)
What are some alternatives?
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
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
tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).
wink-eng-lite-model - English lite language model for wink-nlp.
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
German-NER-BERT - German NER on Legal Data using BERT
DataTurks - ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.
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 !
wink-mqtt-rs - MQTT Relay for the Jailbroken Wink Hub v1, with Home Assistant MQTT autodiscovery support