Customer reviews represent a very rich data source from which we can extract valuable information about different online shopping experiences . The amount of the collected data may be very large especially for trendy items(products, movies, TV shows, hotels, services…), where the number of available customers’ opinions could easily surpass thousands . My research goal in this thesis is to develop reputation systems that can automatically provide E-commercecustomers with valuable information to support them during their onlinedecision-making process by mining online reviews expressed in natural language . In fact, while agood number of reviews could indeed give a hint about the quality of an item, apotential customer may not have time or effort to read all reviews for the purpose of making an informed decision

Author(s) : Abdessamad Benlahbib

Links : PDF - Abstract

Code :
Coursera

Keywords : reviews - online - opinions - reputation - data -

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