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August 2, 2025

Deep Learning for Multimodal Sentimental Analysis Using Long-Short Term Memory

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Authors

SMSujeet MoreJSJimmy Singla

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Overview

Deep learning improves classification accuracy in multimodal sentimental analysis using LSTM, suggesting advancements in emotion detection.

Key Points

  • The research introduces a deep learning technique for multimodal sentimental analysis using LSTM.
  • Utilizing the CMU-MOSI and CMU-MOSEI datasets, the model processes video, audio, and text inputs.
  • The LSTM model achieved a binary accuracy of 91.57% on the CMU-MOSI dataset, outperforming existing techniques.
  • Performance metrics such as F1-score and Mean Absolute Error were used to evaluate the model's effectiveness.

Cite This Study

More et al. (2025) studied this question.

synapsesocial.com/papers/689a0c72e6551bb0af8d0061https://doi.org/10.21203/rs.3.rs-4906473/v1
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