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Implementation of DAN for binary sentiment classification using GloVe word embeddings

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The Training data files, Train.pos and Train.neg, contain 5000 examples each 
belonging to positive and negative class repectively.

The test data will contain one input sentence per line and will be provided on 16th Aug at 5:00 PM.

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Implementation of DAN for binary sentiment classification using GloVe word embeddings

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