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Evaluation of different word embedding techniques, viz. Fast-text, Skip-gram, CBOW and LSA, trained on BBC dataset against GloVe using by Cosine similarity and Euclidean distance

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models

models

 
 

.gitattributes

.gitattributes

 
 

LSA.ipynb

LSA.ipynb

 
 

README.md

README.md

 
 

analogy.ipynb

analogy.ipynb

 
 

analogy.py

analogy.py

 
 

bbc-text.csv

bbc-text.csv

 
 

fasttext.ipynb

fasttext.ipynb

 
 

requirements.txt

requirements.txt

 
 

skipgram_cbow.ipynb

skipgram_cbow.ipynb

 
 

skipgram_cbow_fasttext.ipynb

skipgram_cbow_fasttext.ipynb

 
 

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NLP-Word-Embedding-Techniques

Evaluation of different word embedding techniques, viz. Fast-text, Skip-gram, CBOW and LSA, trained on BBC dataset against GloVe using by Cosine similarity and Euclidean distance

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Evaluation of different word embedding techniques, viz. Fast-text, Skip-gram, CBOW and LSA, trained on BBC dataset against GloVe using by Cosine similarity and Euclidean distance

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