SoulDGXu/Sentiment-Analysis-Chinese-pytorch

中文的情感分析任务:基于Bi-LSTM+Attention模型,对2万条中文影评数据进行情感分类。Chinese sentiment analysis task: Based on the Bi-LSTM+Attention model, sentiment classification is performed on 20,000 Chinese film review data.

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This project helps you understand the sentiment of Chinese text, specifically movie reviews. You input Chinese movie review text, and it categorizes each review as either positive or negative. This tool is designed for data analysts, market researchers, or anyone needing to quickly gauge public opinion from large volumes of Chinese text.

127 stars. No commits in the last 6 months.

Use this if you need to automatically classify Chinese text, like customer feedback or social media posts, to understand underlying sentiment as positive or negative.

Not ideal if you need to analyze sentiment in languages other than Chinese or require a more nuanced sentiment classification (e.g., neutral, mixed emotions).

Chinese-text-analysis sentiment-classification public-opinion customer-feedback movie-review-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 13 / 25

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127

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13

Language

Python

License

Last pushed

Mar 03, 2022

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