2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) 2019
DOI: 10.1109/icsess47205.2019.9040804
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Research on the Sentiment Analysis Based on Machine Learning and Feature Extraction Algorithm

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Cited by 5 publications
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“…Term frequency-inverse document frequency (TF-IDF) is an NLP technique for text feature extraction that is more functional and widely accepted than other known methods. 27 It calculates TF-IDF sparse matrix and discovers the underlying logic of words in the text. Furthermore, it evaluates importance of a word to a document in a corpus.…”
Section: Term Frequency-inverse Document Frequency Techniquementioning
confidence: 99%
“…Term frequency-inverse document frequency (TF-IDF) is an NLP technique for text feature extraction that is more functional and widely accepted than other known methods. 27 It calculates TF-IDF sparse matrix and discovers the underlying logic of words in the text. Furthermore, it evaluates importance of a word to a document in a corpus.…”
Section: Term Frequency-inverse Document Frequency Techniquementioning
confidence: 99%