A mobile app recommendation assistant
This part is to add tags of page content
├── readme.md
├── corpus_3_PagesPerItem_de/ #
│ ├── pre # Model & some global files
│ ├── tag_corpus # Corpus of each tags, comerge several docs
├── database/
│ ├── ... # API returns
├── res/ # Result
│ ├── compare # Compare if using stopwords
│ ├── ... # Test results for each lable
├── source/
│ ├── chinese # Chinese stopwords
├── crawler.py # Crawler corpus for an entry
├── tagger.py # Topic model train, pred & test
├── tidy.py # Utility for txt filtering
├── tag_vectors # Dumped list of tag vectors
├── sb # A test corpus about movie "fast8"