Bag of words


### Data representation method which do not considering order, only focus on frequency
생성하거나 예측하는 것의 학습에는 유효하지 않다
- represent word as one-hot vector word마다 id부여 index
→ all is orthogonal → similarity 0 → cannot contain semantic
데이터의 분포를 보고 이 데이터 corpus가 어떤 종류의 corpus인지 판단

[CBOW](https://texonom.com/cbow-3f2a71abae394745b0b4246697fbf59f)



## Origin
### [Texture Recognition](https://texonom.com/texture-recognition-1eb6965429da4f3d87cd98eec54b10cd) 
### Bag of words
nlp domain






> [Untitled](https://hleecaster.com/nlp-bag-of-words-concept/)

> [04-02 Bag of Words(BoW)](https://wikidocs.net/22650)

> [Bag of Words 기법](https://darkpgmr.tistory.com/125)





