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Found 1 from your keywords: author=Angreini, Cindy

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PERBANDINGAN TF-IDF DAN WORD2VEC UNTUK ANALISIS SENTIMEN MENGGUNAKAN SUPPORT …

Sentiment analysis is a branch of Natural Language Processing (NLP) used to determine public opinions on specific topics as positive, negative, or neutral. This study aims to compare the performance of two feature extraction methods across three scenarios: TF-IDF, Word2Vec-CBOW, and Word2Vec-skipgram. The dataset utilized consists of comments from the Instagram platform @magangmerdeka regarding…

Edition: -
ISBN/ISSN: -
Collation: xvi, 66 hlm.; ilus.; 29 cm
Series Title: -
Call Number: T1627812024

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