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- Title
Finding Rotten Eggs: A Review Spam Detection Model using Diverse Feature Sets.
- Authors
Akram, Abubakker Usman; Khan, Hikmat Ullah; Iqbal, Saqib; Iqbal, Tassawar; Munir, Ehsan Ullah; Shafi, Muhammad
- 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.
- Subjects
SPAM email; ELECTRONIC commerce; CONSUMERS' reviews; SENTIMENT analysis; COMPUTER security
- Publication
KSII Transactions on Internet & Information Systems, 2018, Vol 12, Issue 10, p5120
- ISSN
1976-7277
- Publication type
Article
- DOI
10.3837/tiis.2018.10.026