312shan/Subject-and-Sentiment-Analysis

汽车行业用户观点主题及情感识别

31
/ 100
Emerging

This tool helps automotive industry professionals understand customer feedback by automatically identifying key discussion topics and the sentiment associated with each. You provide raw customer comments or reviews, and it outputs a detailed breakdown of what subjects are being discussed (like 'engine' or 'infotainment') and whether the sentiment for each subject is positive, negative, or neutral. This is ideal for product managers, marketing teams, or customer service analysts in the automotive sector.

No commits in the last 6 months.

Use this if you need to quickly process large volumes of Chinese-language customer feedback to pinpoint specific issues and gauge public opinion on different aspects of automotive products.

Not ideal if your feedback is in a language other than Chinese, or if your analysis needs extend beyond the automotive industry.

automotive-feedback customer-sentiment market-research product-analysis Chinese-language-text
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 17 / 25

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Stars

24

Forks

8

Language

Python

License

Last pushed

Jul 30, 2020

Commits (30d)

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