Multimodal Sentiment Analysis

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28 papers with code • 3 benchmarks • 5 datasets

Multimodal sentiment analysis is the task of performing sentiment analysis with multiple data sources - e.g. a camera feed of someone's face and their recorded speech.

( Image credit: ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection )

Benchmarks

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Dataset	Best Model	Results
MOSI	Proposed: B2 + B4 w/ multimodal fusion Gated Mechanism for Attention Based Multimodal Sentiment Analysis	7
CMU-MOSEI	Transformer-based joint-encoding A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis	4
B-T4SA	AutoML-Based Fusion Approach An AutoML-based Approach to Multimodal Image Sentiment Analysis	7

Papers

NeurIPS Guidelines

Paper	Code	Results	Date	Stars

Datasets

CH-SIMS
MuSe-CaR

Multimodal Sentiment Analysis Edit

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Papers NeurIPS Guidelines

Datasets

Multimodal Sentiment Analysis

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Benchmarks

Add a Result

Papers

NeurIPS Guidelines