Word2vec
imported>Pythagoras0님의 2017년 8월 2일 (수) 20:29 판
gensim
- https://rare-technologies.com/word2vec-tutorial/
- document similarity
- https://rare-technologies.com/performance-shootout-of-nearest-neighbours-contestants/
- Using gensim’s memory-friendly streaming API I then converted these plain text tokens to TF-IDF vectors, ran Singular Value Decomposition (SVD) on this TF-IDF matrix to build a latent semantic analysis (LSA) model and finally stored each Wikipedia document as a 500-dimensional LSA vector to disk.
memo