sentiment analysis with 3 variables NLP deep learning in keras code example

Example: machine earning to predict sentimentanalysis python

>>> from sklearn.feature_extraction.text import CountVectorizer>>> vectorizer = CountVectorizer(tokenizer = spacy_tokenizer, ngram_range=(1,1))>>> #By default, the vectorizer might be created as follows:>>> #vectorizer = CountVectorizer()>>> vectorizer.fit(reviews_train)