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Sentiment Classification: Review of Text Vectorization Methods: Bag of Words, Tf-Idf, Word2vec and Doc2vec
Author(s) -
Haisal Dauda Abubakar,
Mahmood Umar
Publication year - 2022
Language(s) - English
DOI - 10.56471/slujst.v4i.266
Subject(s) - word2vec , vectorization (mathematics) , computer science , sentiment analysis , bag of words model , artificial intelligence , natural language processing , word embedding , tf–idf , representation (politics) , information retrieval , support vector machine , feature (linguistics) , lexicon , machine learning , embedding , linguistics , philosophy , physics , quantum mechanics , parallel computing , term (time) , politics , political science , law

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