Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Nlp.js | 5,944 | 1 | 92 | 7 months ago | 40 | January 12, 2023 | 109 | mit | JavaScript | |
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more | ||||||||||
Pytorch Sentiment Analysis | 4,133 | 5 months ago | 3 | mit | Jupyter Notebook | |||||
Tutorials on getting started with PyTorch and TorchText for sentiment analysis. | ||||||||||
Sentiment | 2,208 | 980 | 117 | 4 years ago | 26 | August 22, 2019 | 14 | mit | JavaScript | |
AFINN-based sentiment analysis for Node.js. | ||||||||||
Absa Pytorch | 1,782 | a year ago | 91 | mit | Python | |||||
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。 | ||||||||||
Stocksight | 1,557 | 2 years ago | 8 | apache-2.0 | Python | |||||
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis | ||||||||||
Twitter Sentiment Analysis | 1,322 | a year ago | 20 | mit | Python | |||||
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc. | ||||||||||
Senta | 1,272 | 3 years ago | 6 | May 21, 2020 | 50 | apache-2.0 | Python | |||
Baidu's open-source Sentiment Analysis System. | ||||||||||
Text Analytics With Python | 1,073 | 4 years ago | apache-2.0 | Jupyter Notebook | ||||||
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer. | ||||||||||
Wink Nlp | 1,057 | 12 | 9 months ago | 33 | July 21, 2023 | mit | JavaScript | |||
Developer friendly Natural Language Processing ✨ | ||||||||||
Getting Things Done With Pytorch | 873 | 3 years ago | 13 | apache-2.0 | Jupyter Notebook | |||||
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT. |