Keyword : sentiment analysis


Sentiment Classification for Hotel Booking Review Based on Sentence Dependency Structure and Sub-Opinion Analysis
Tran Sy BANG Virach SORNLERTLAMVANICH 
Publication:   
Publication Date: 2018/04/01
Vol. E101-D  No. 4 ; pp. 909-916
Type of Manuscript:  Special Section PAPER (Special Section on Intelligent Information and Communication Technology and its Applications to Creative Activity Support)
Category: Datamining Technologies
Keyword: 
sentiment analysissentence dependency parsingsubtree opinionsVietnamese sentiment classificationhotel review classification
 Summary | Full Text:PDF

Semantically Readable Distributed Representation Learning and Its Expandability Using a Word Semantic Vector Dictionary
Ikuo KESHI Yu SUZUKI Koichiro YOSHINO Satoshi NAKAMURA 
Publication:   
Publication Date: 2018/04/01
Vol. E101-D  No. 4 ; pp. 1066-1078
Type of Manuscript:  Special Section PAPER (Special Section on Data Engineering and Information Management)
Category: 
Keyword: 
distributed representationword semantic vector dictionaryparagraph vectorword2vecTwittersentiment analysis
 Summary | Full Text:PDF

Incorporation of Target Specific Knowledge for Sentiment Analysis on Microblogging
Yongyos KAEWPITAKKUN Kiyoaki SHIRAI 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2016/04/01
Vol. E99-D  No. 4 ; pp. 959-968
Type of Manuscript:  Special Section PAPER (Special Section on Data Engineering and Information Management)
Category: 
Keyword: 
sentiment analysismachine learningmicrobloggingsentiment lexiconpolarity of target
 Summary | Full Text:PDF

An Unsupervised Opinion Mining Approach for Japanese Weblog Reputation Information Using an Improved SO-PMI Algorithm
Guangwei WANG Kenji ARAKI 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2008/04/01
Vol. E91-D  No. 4 ; pp. 1032-1041
Type of Manuscript:  PAPER
Category: Data Mining
Keyword: 
SO-PMIopinion miningWeblog reputation informationsentiment analysisunsupervised learningsupervised learning
 Summary | Full Text:PDF