“Document classification test”版本间的差异
来自cslt Wiki
（→VSM Test） |
（→Document classification of Sougou data） |
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| 第8行： | 第8行： | ||
:* Remove stop word.stop_wordlist is | :* Remove stop word.stop_wordlist is | ||
:* | :* | ||
| + | *Some Tools | ||
| + | :* weka | ||
| + | :* scw | ||
| + | :* google word2ve | ||
| + | :* LDA | ||
===VSM Test=== | ===VSM Test=== | ||
*Data | *Data | ||
2014年9月7日 (日) 13:48的版本
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
