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Multimodal-Sentiment-Analysis
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Multimodal-Sentiment-Analysis

多模态情感分析——基于BERT+ResNet的多种融合方法

by YeexiaoZheng · GitHub
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attentionmultimodalmultimodal-sentiment-analysisApache-2.0Python
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Analyze emotions in text and images using advanced machine learning techniques with this project.

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多模态情感分析——基于BERT+ResNet的多种融合方法

Multimodal-Sentiment-Analysis has 369 stars on GitHub. It has been forked 34 times. Multimodal-Sentiment-Analysis is written mainly in Python. It has been in active development since 2022. Multimodal-Sentiment-Analysis is available under the Apache-2.0 license. Its main topics are attention, multimodal, multimodal-sentiment-analysis, pytorch.

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What is Multimodal-Sentiment-Analysis?

多模态情感分析——基于BERT+ResNet的多种融合方法

Is Multimodal-Sentiment-Analysis open source?

Multimodal-Sentiment-Analysis is an open-source project. It is released under the Apache-2.0 license.

Is Multimodal-Sentiment-Analysis free?

Yes. Multimodal-Sentiment-Analysis is free and open source — you can use, modify and self-host it.

What license does Multimodal-Sentiment-Analysis use?

Multimodal-Sentiment-Analysis is available under the Apache-2.0 license.

What language is Multimodal-Sentiment-Analysis written in?

Multimodal-Sentiment-Analysis is written mainly in Python.

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