Practice how to perform text classification using a machine learning classification model and combinations of word embeddings or sentence embeddings as a feature vector Movie reviews data set V2.0 contains 2000 text samples divided into 1000 positive reviews and 1000 negative reviews. Reference and download: http://www.cs.cornell.edu/people/pabo/movie-review-data/ Sentence embedding using doc2vec model
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Practice how to perform text classification using a machine learning classification model and combinations of word embeddings or sentence embeddings as a feature vector
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