Presentation 2019-01-26
A Spam Review Detection Method with Verifying Consistency among Multiple Review Sites
Chuhao Yao, Jiahong Wang, Eiichiro Kodama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In recent years, internet sites such as Amazon, Rakuten and TABElog that have the user review information are widely used. As an important factor affecting user purchasing behavior, user review information has been becoming increasingly important, and accordingly the reliability of review information becomes an important issue. Many research works on the review reliability have been done. The effectiveness, however, still remains to be a problem. This paper proposes a method to more accurately detect the appearance period of spam reviews by verifying the consistency of review information among multiple review sites. And the evaluation experiments were conducted to show the effectiveness of the proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Spam review / Anomaly detection / Sentiment analysis / Multiple review sites / Consistency
Paper # KBSE2018-51
Date of Issue 2019-01-19 (KBSE)

Conference Information
Committee KBSE
Conference Date 2019/1/26(1days)
Place (in Japanese) (See Japanese page)
Place (in English) NII
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Fumihiro Kumeno(Nippon Inst. of Tech.)
Vice Chair Hiroyuki Nakagawa(Osaka Univ.)
Secretary Hiroyuki Nakagawa(NTT)
Assistant Ryuichi Takahashi(Ibaraki Univ.) / Yoshinori Tanabe(Tsurumi Univ.)

Paper Information
Registration To Technical Committee on Knowledge-Based Software Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Spam Review Detection Method with Verifying Consistency among Multiple Review Sites
Sub Title (in English)
Keyword(1) Spam review
Keyword(2) Anomaly detection
Keyword(3) Sentiment analysis
Keyword(4) Multiple review sites
Keyword(5) Consistency
1st Author's Name Chuhao Yao
1st Author's Affiliation Iwate Prefectural University(Iwate pu)
2nd Author's Name Jiahong Wang
2nd Author's Affiliation Iwate Prefectural University(Iwate pu)
3rd Author's Name Eiichiro Kodama
3rd Author's Affiliation Iwate Prefectural University(Iwate pu)
Date 2019-01-26
Paper # KBSE2018-51
Volume (vol) vol.118
Number (no) KBSE-425
Page pp.pp.49-54(KBSE),
#Pages 6
Date of Issue 2019-01-19 (KBSE)