Machine Learning, NLP, Word Embeddings, Artificial Intelligence, Text Similarity.
pre_process(corpus[c]) # creating vocabulary using uni-gram and bi-gram tfidf_vectorizer = TfidfVectorizer(ngram_range=(1,2)) tfidf_vectorizer.fit(corpus) feature_vectors = tfidf_vectorizer.transform(corpus) To create a vocabulary for TF-IDF we can select different n-gram (a group of words ). For