Shengwei-Peng/Chinese-Multimodal-Sentiment-Analysis
Chinese-Multimodal-Sentiment-Analysis is an innovative project that integrates advanced deep learning techniques to analyze sentiments in Chinese language data. Utilizing a sophisticated blend of textual, audio, and visual modalities, this project offers a comprehensive approach to understanding and interpreting complex emotional expressions.
This project helps you understand the emotional tone in Chinese multimedia content like videos and audio clips. By analyzing the words spoken, the sound of the voice, and the visual cues, it identifies whether the sentiment is positive, neutral, or negative. It's designed for researchers and practitioners who need to perform in-depth sentiment analysis on Chinese language data.
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Use this if you need to perform comprehensive sentiment analysis on Chinese language content, especially when nuanced emotional expressions are conveyed through a combination of text, audio, and video.
Not ideal if your primary need is basic text-only sentiment analysis or if you are working with languages other than Chinese.
Stars
10
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—
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 19, 2023
Commits (30d)
0
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