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Visual Detection Of Singularities In Review Platforms

Product and service reviews can markedly influence consumer purchase decisions, leading to financial gains or losses for businesses. Therefore, there is a growing interest towards techniques for bringing out reviews that could negatively or positively bias new customers. To this goal, we propose a visual analysis of reviews that enables quick elicitation of interesting patterns and singularities. The proposed approach is based on a theoretically sound framework, while its effectiveness and viability is demonstrated by its application to real data extracted from Tripadvisor and Booking.com.

30th Symposium of Applied Computing, Salamanca, 2015

Autori esterni: Alessandro Colantonio (Bay 31)
Autori IIT:

Roberto Di Pietro

Foto di Roberto Di Pietro

Angelo Spognardi

Foto di Angelo Spognardi

Tipo: Articolo in Atti di convegno internazionale con referee
Area di disciplina: Information Technology and Communication Systems
Attività: Bolle dell'informazione e rilevamento di falsi in rete