practicingman/chinese_ulmfit

中文ULMFiT 情感分析 文本分类

37
/ 100
Emerging

This tool helps you analyze Chinese text to understand its sentiment or categorize it into different topics. You input a collection of Chinese text, like customer reviews or social media posts, and it outputs classifications indicating the sentiment (positive, negative) or specific categories the text belongs to. This is ideal for market researchers, customer service managers, or anyone needing to quickly understand large volumes of Chinese text.

266 stars. No commits in the last 6 months.

Use this if you need to automatically sort and understand the emotional tone or subject matter of large amounts of Chinese text data, such as product feedback or news articles.

Not ideal if your primary need is for languages other than Chinese, or if you only have a very small amount of text that can be manually reviewed.

sentiment-analysis text-classification customer-feedback market-research social-listening
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 19 / 25

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Stars

266

Forks

41

Language

Python

License

Last pushed

Jan 07, 2019

Commits (30d)

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