cleopatra-itn/fair_multimodal_sentiment
Code and Splits for the paper "A Fair and Comprehensive Comparison of Multimodal Tweet Sentiment Analysis Methods", In Proceedings of the 2021 Workshop on Multi-Modal Pre-Training for Multimedia Understanding (MMPT ’21), August 21, 2021,Taipei, Taiwan
This project helps social media analysts and researchers understand the public's feelings towards topics by analyzing tweets. It takes raw tweet data, including both text and associated images, and outputs a sentiment label (positive, neutral, or negative) for each tweet. The primary users are those who need to accurately gauge public sentiment from social media posts.
Use this if you need to analyze the sentiment of tweets, considering both the written text and any accompanying images to get a more accurate understanding.
Not ideal if you only need to analyze sentiment from text or images separately, or if your social media data is not from Twitter.
Stars
10
Forks
6
Language
Python
License
MIT
Category
Last pushed
Oct 27, 2025
Commits (30d)
0
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