TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Finding Rotten Eggs: A Review Spam Detection Model using Diverse Feature Sets |
| 영문제목(English Title) |
Finding Rotten Eggs: A Review Spam Detection Model using Diverse Feature Sets |
| 저자(Author) |
Abubakker Usman Akram
Hikmat Ullah Khan
Saqib Iqbal
Tassawar Iqbal
Ehsan Ullah Munir
Dr. Muhammad Shafi
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| 원문수록처(Citation) |
VOL 12 NO. 10 PP. 5120 ~ 5142 (2018. 10) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Social media enables customers to share their views, opinions and experiences as product reviews. These product reviews facilitate customers in buying quality products. Due to the significance of online reviews, fake reviews, commonly known as spam reviews are generated to mislead the potential customers in decision-making. To cater this issue, review spam detection has become an active research area. Existing studies carried out for review spam detection have exploited feature engineering approach; however limited number of features are considered. This paper proposes a Feature-Centric Model for Review Spam Detection (FMRSD) to detect spam reviews. The proposed model examines a wide range of feature sets including ratings, sentiments, content, and users. The experimentation reveals that the proposed technique outperforms the baseline and provides better results.
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| 키워드(Keyword) |
Review spam detection
feature engineering
sentiment analysis
rating diversity
social networks
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| 파일첨부 |
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