Robin-WZQ/Text-sentiment-polarity-judgment
基于规则、基于朴素贝叶斯、基于逻辑回归进行文本情感极性分析判断（酒店评论语料）
This project helps businesses understand customer opinions by analyzing text feedback, like hotel reviews, to determine if the sentiment is positive or negative. It takes raw Chinese text as input and outputs a classification of the text's sentiment polarity. This is designed for product managers, customer service managers, or anyone who needs to quickly gauge public opinion from large volumes of text.
No commits in the last 6 months.
Use this if you need to quickly categorize Chinese text feedback as broadly positive or negative, especially for customer reviews or social media comments.
Not ideal if you need nuanced sentiment scores beyond simple positive/negative, or if your text data is not in Chinese.
Stars
36
Forks
4
Language
Python
License
MIT
Category
Last pushed
May 07, 2023
Commits (30d)
0
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