Sentiment Analysis Alternatives

Chinese Shopping Reviews sentiment analysis
Suggest Alternative
Alternatives To BUPTLdy/Sentiment-Analysis
Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
thuiar/MMSA 494 0 0 over 2 years ago 11 October 25, 2022 25 mit Python
MMSA is a unified framework for Multimodal Sentiment Analysis.
rainarch/SentiBridge 488 0 0 over 7 years ago 0 3 other Python
SentiBridge: A Knowledge Base for Entity-Sentiment Representation
linguishi/chinese_sentiment 463 0 0 over 3 years ago 0 7 Python
中文情感分析,CNN,BI-LSTM,文本分类
KimMeen/Weibo-Analyst 325 0 0 over 6 years ago 0 0 apache-2.0 Python
Social media (Weibo) comments analyzing toolbox in Chinese 微博评论分析工具, 实现功能: 1.微博评论数据爬取; 2.分词与关键词提取; 3.词云与词频统计; 4.情感分析; 5.主题聚类
BUPTLdy/Sentiment-Analysis 296 0 0 almost 8 years ago 0 13 Python
Chinese Shopping Reviews sentiment analysis
indiejoseph/doc-han-att 193 0 0 almost 9 years ago 0 5 Jupyter Notebook
Hierarchical Attention Networks for Chinese Sentiment Classification
z17176/Chinese_conversation_sentiment 190 0 0 over 9 years ago 0 4
A Chinese sentiment dataset may be useful for sentiment analysis.
bung87/bixin 142 0 0 almost 3 years ago 0 2 Python
Chinese Sentiment Analysis 中文文本情感分析
lybroman/Chinese-sentiment-analysis-with-Doc2Vec 64 0 0 over 7 years ago 0 0 Python
using jieba and doc2vec to implement sentiment analysis for Chinese docs
ryh95/pyspider-stock 56 0 0 over 8 years ago 0 2 Python
A project using pyspider to collect data and NLP techs to analyze the correlation among the data
Alternatives To BUPTLdy/Sentiment-Analysis
Select To Compare


Alternative Project Comparisons
Popular Sentiment Projects
Popular Chinese Projects
Popular Machine Learning Categories
Related Searches
Get A Weekly Email With Trending Projects
No Spam. Unsubscribe easily at any time.
Privacy | About | Terms | Follow Us On Twitter

Downloads, Dependent Repos, Dependent Packages, Total Releases, Latest Releases data powered by Libraries.io.

Copyright 2018-2026 Awesome Open Source.  All rights reserved.