Twitter sentiment classification using Naive Bayes based on trainer perception

This paper presents strategy to classify tweets sentiment using Naive Bayes techniques based on trainers' perception into three categories; positive, negative or neutral. 50 tweets of 'Malaysia' and 'Maybank' keywords were selected from Twitter for perception training. In th...

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書誌詳細
主要な著者:	Ibrahim, M.N.M., Yusoff, M.Z.M.
フォーマット:	論文
言語:	English
出版事項:	2017
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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