practicingman/chinese_text_cnn

TextCNN Pytorch实现 中文文本分类 情感分析

41
/ 100
Emerging

This tool helps businesses and researchers analyze large volumes of Chinese text to understand the sentiment expressed. It takes raw Chinese text as input and classifies it, for example, as positive, negative, or neutral sentiment. This is ideal for market researchers, customer service analysts, or social media managers who need to quickly gauge public opinion or customer feedback from Chinese sources.

645 stars. No commits in the last 6 months.

Use this if you need to automatically categorize or understand the emotional tone of Chinese language content.

Not ideal if your primary need is for sentiment analysis in languages other than Chinese, or if you require fine-grained emotion detection beyond general sentiment.

Chinese-text-analysis sentiment-analysis customer-feedback public-opinion market-research
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 23 / 25

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Stars

645

Forks

120

Language

Python

License

Last pushed

Dec 30, 2018

Commits (30d)

0

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