qyfang/TextClassification
基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。
This project helps anyone who needs to automatically sort large volumes of Chinese news articles into predefined categories. You provide raw Chinese news text, and it classifies each article into one of 10 categories, like 'sports' or 'finance'. This is ideal for content managers, data analysts, or researchers dealing with news aggregation and topic organization.
110 stars. No commits in the last 6 months.
Use this if you need to efficiently categorize millions of Chinese news articles based on their content.
Not ideal if your text data is in a language other than Chinese or if you need to classify documents into custom categories not related to general news topics.
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110
Forks
21
Language
Python
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Last pushed
Dec 24, 2018
Commits (30d)
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