Abstract
A reputation system assists people selecting whom to trust. The “all good reputation” problem is common in e-commerce domain, making it difficult for buyers to choose credible sellers. Observing high growth of online data in Hindi language, in this paper, we propose a reputation system in this language. The functions of this system include 1) review mining for different criteria of online transactions 2) calculation of reputation rating and reputation weight for each criteria from user reviews and 3) ranking sellers based on computed reputation score. Extensive simulations conducted on eBay dataset show its effectiveness in solving “all good reputation” problem. So far as our knowledge is concerned, this is the first work in Hindi language on reputation system.
Cite
CITATION STYLE
Jha, V., Deepa Shenoy, S. R. P., & Venugopal, K. R. (2016). Reputation system: Evaluating reputation among all good sellers. In Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016 (pp. 115–121). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w16-0419
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