English Sentiment Classification using Only the Sentiment Lexicons with a Johnson Coefficient in a Parallel Network Environment
Ngày
2017-12-20
Tác giả
Vo, Ngoc Phu
Vo, Thi Ngoc Tran
Tên Tạp chí
Tạp chí ISSN
Nhan đề tập
Nhà xuất bản
Trường Đại học Nguyễn Tất Thành (Tạp chí Khoa học công nghệ NTT)
Giấy phép
Tóm tắt
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
Mô tả
28 tr.
Từ khóa
English Sentiment Classification , Distributed System , Parallel System