本项目是一个简单的新闻文本分类任务，部分代码已经被提交至合肥工业大学数据挖掘 (数据与智能工程，0521550X）课程作业。本代码仅供参考，不建议用作作业提交。
This is a demo project for news text classification, part of this work has been admitted for the homework of Hefei University of Technology Data Mining course(0521550X). I strongly do not recommend you submit this project for homework again.
本项目不包含数据集！
This project does not contain any dataset!
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新闻文本分类是自然语言处理领域的经典任务，本项目通过一些经典机器学习方法处理了一个公开新闻语料库。
Text classification is a fundamental task in the Natural Language Processing (NLP) field. For this project, we select a public News corpus and use some classic, machine learning methods to process it.
本项目针对的数据集是JSON格式，一条数据包含标题-内容-其他信息等多个数据。因此需要对数据集进行预处理，转换JSON格式，提取文本内容，提取标题，打标签等。这些代码均在 data_preprocessing 中。
We processing the JSON format dataset, a single data containing Header-Content-Others information. It is necessary to process the dataset and transform it to the proper format before feeding it to the model.
All these preprocessing codes are in the data_preprocessing.
使用一些经典机器学习算法对处理后的文本进行分类，这里包含了多种经典机器学习方法。包含在 algorithm 中。
All the algorithms tested in this demo project are in the algorithm.
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