Repository with all what is necessary for sentiment analysis and related areas

sentiment-polarity 开源项目推荐(133 个)
sentiment-polarity 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 133 个仓库😃 iOS11 demo application for sentiment polarity analysis.
Dictionary based Sentiment Analysis for Japanese
Codes for our paper "SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge" (EMNLP 2020)
Transformer-powered hashtag segmentation with beam search, RRF ensembles, and agent-ready MCP workflows. A scalable alternative to heuristic splitters and massive LLMs.
Japanese Realistic Textual Entailment Corpus (NLP 2020, LREC 2020)
An emotion-polarity classifier specifically trained on developers' communication channels
Sentiment Strength Detection in Bahasa Indonesia
Sentiment analysis for Twitter and social media
A Web Scraping project to analyze product reviews in Amazon.com. A sentiment analysis is done and the reviews are sorted and highlighted in green or red based on the sentiment score.
SentiSE is a sentiment analysis tool for Software Engineering interactions
Encyclopedic Hub for Sentiment Dictionaries
How Will Your Tweet Be Received? Predicting theSentiment Polarity of Tweet Replies
Weibo SentimentBot is built Qwen3.5-0.6B Fine-Tuning Based. It is trained through a complete fine-tuning pipeline on the AutoDL cloud computing infrastructure. Demonstrating a complete LLMs-Alignment training pipeline: starting from Qwen3.5-0.6B, through stages: SFT-Training, LoRA, and DPO preference optimization, the model gradually evolves fr
This project focuses on sentiment analysis. Social Sentiment analysis is the use of natural language processing (NLP) to analyze social conversations online and determine deeper context as they apply to a topic, brand or theme.
A rating-based sentiment dataset of IMDB movie reviews (WASSA 2014)
Python module to get Sentiment Rankings for Unicode Emojis
Set of sentiment lexicons of Latin adjectives and nouns.
Twitter Feeds were analysed during the Lok Sabha Elections 2019 to guage the overall popularities of each party and predict the winner based solely on the tweets made by the population. This was made as a part of our Data Science course (UE18CS203) at PES University.
Annotated sentences to do sentiment analysis with supervised learning in the danish language. The dataset was created specifically to classify sentences to the root comments of political articles on social media.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/sentiment-polarity。
- 该话题在 GitHub 上共有 133 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1284 Star,覆盖 5 种主要语言,数据更新于 2026-11-15。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。