Korean | English

pISSN : 1598-849X / eISSN : 2383-9945

2020 KCI Impact Factor : 0.4
Home > Explore Content > All Issues > Article View
21 of 22

Impact of Word Embedding Methods on Performance of Sentiment Analysis with Machine Learning Techniques

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2020, 25(8), pp.181-188
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science

PARK HO YEON 1 Kim, Kyoung Jae 2

1동국대학교
2동국대학교

등재

Statistics

icon85 Viewed

Tools

iconPrint this page

iconDownload PDF

Search PDF

Close X