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Neural sentiment classification of text using the Stanford Sentiment Treebank (SST-2) movie reviews dataset, logistic regression, naive bayes, continuous bag of words, and multiple CNN variants.
Continuous Bag-of-Words (CBOW model implemented in pytorch
🎓 Diploma Thesis | A Word2vec comparative study of CBOW and Skipgram
Sentiment analysis using neural BoW and LSTM based models
Some demo word2vec models implemented with pytorch, including Continuous-Bag-Of-Words / Skip-Gram with Hierarchical-Softmax / Negative-Sampling.
Just exploring Deep Learning
Instance of CBOW(Continuous Bag Of Words)-bigram model