English Sentiment Classification using Only the Sentiment Lexicons with a Johnson Coefficient in a Parallel Network Environment

dc.contributor.author	Vo, Ngoc Phu
dc.contributor.author	Vo, Thi Ngoc Tran
dc.date.accessioned	2024-08-21T03:36:45Z
dc.date.available	2024-08-21T03:36:45Z
dc.date.issued	2017-12-20
dc.description	28 tr.
dc.description.abstract	Sentiment classification is significant in everyday life, such as in political activities, commodity production and commercial activities. In this survey, we have proposed a new model for Big Data sentiment classification. We use many sentiment lexicons of our basis English Sentiment Dictionary (bESD) to classify 5,000,000 documents including 2,500,000 positive and 2,500,000 negative of our testing data set in English. We do not use any training data set in English
dc.identifier.uri	https://oerrepository.ntt.edu.vn/handle/298300331/47
dc.language.iso	vi_VN
dc.publisher	Trường Đại học Nguyễn Tất Thành (Tạp chí Khoa học công nghệ NTT)
dc.subject	English Sentiment Classification
dc.subject	Distributed System
dc.subject	Parallel System
dc.title	English Sentiment Classification using Only the Sentiment Lexicons with a Johnson Coefficient in a Parallel Network Environment
dc.type	Article

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