“Document classification test”版本间的差异
来自cslt Wiki
(→VSM Test) |
(→Document classification of Sougou data) |
||
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