Popular GitHub Repositories for Multimodal Sentiment Analysis

MMSA is a unified framework for Multimodal Sentiment Analysis.

Context-Dependent Sentiment Analysis in User-Generated Videos

The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.

Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis (ALMT)

Code for the paper "VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis", AAAI'19

Multimodal sentiment analysis using hierarchical fusion with context modeling

Codebase for EMNLP 2024 Findings Paper "Knowledge-Guided Dynamic Modality Attention Fusion Framework for Multimodal Sentiment Analysis"

DeepCU: Integrating Both Common and Unique Latent Information for Multimodal Sentiment Analysis, IJCAI-19

Bimodal and Unimodal Sentiment Analysis of Internet Memes (Image+Text)

Sentiment Analysis, Summarization, Tagging with MongoDB Atlas and Gemini — Google Cloud's AI model

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