Document classification test
来自cslt Wiki
目录
[隐藏]Problem And Solve
Document classification of Sougou data
- DATA
- Data from SougouLab [1],using SogouC.reduced(30M)
- 9-Classes:财经,IT,健康,体育,旅游,教育,招聘,文化,军事
- train and test: train(),test(),dev()
- Text preprocessing
- Segment word using wordlist of 9W.(tencent)
- Remove stop word.stop_wordlist is
- Some Tools
- weka
- scw
- google word2ve
- LDA
VSM Test
- Data
- dimension:9402
- Method
- document reprenstion: use the tf-idf weight for word weight
- classifier: Native Bayes
- Result
Training Set | 财经 | IT | 健康 | 体育 | 旅游 | 教育 | 招聘 | 文化 | 军事 | sum |
---|---|---|---|---|---|---|---|---|---|---|
ACC | 0.678 | 0.718 | 0.708 | 0.708 | 0.73 |