Word Embedding Topic Discussing

word embedding

1 Concept :

injective  and  structure-preserving    
           

2 Application:

omas Mikolov's Word2vec, Stanford University's GloVe, Gensim etc.
           

3 Methods:

include neural networks, dimensionality reduction on the word co-occurrence matrix,     probabilistic models, and explicit representation in terms of the context in which words    appear. 
           

4details on neural networks: word2vector:

CBOW:
Skip-Gram model:
Negative Sampling
           

continuing…..