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This repository demonstrates various text vectorization techniques including Bag of Words (BoW), TF-IDF, N-grams, and Word2Vec (CBOW,SKIPGRAM) using nltk,Gensim and Scikit-Learn. The steps outlined here show how to convert textual data into numerical vectors, which are essential for machine learning models.
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14
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convert emotion detection text dataset into vectors using Ngrams
a527f33View on GitHubconvert emotion detection text dataset into vectors using TF-IDF
53ef949View on GitHubconvert emotion detection text dataset into vectors using BOW
a7eabb8View on GitHub