Research Area: Big Data
Most of the e-commerce sites ask their customers to provide relevant reviews on their products which could help other customers to decide their choice. A slew of reviews is being generated on a daily basis due to an increase in the usage of ecommerce sites. A potential customer may need to go through thousands of reviews before arriving at a firm decision, which is time-consuming. The project elaborated below aims at reducing this time constraint, by providing an effective summarization of reviews in a manner suitable for users. Usage of MapReduce technique provided by Apache Hadoop is highly emphasized for processing reviews. The summarization of reviews is limited to attributes that the potential customers might be interested while looking for the particular product. In this paper, the technique used for the same is described which substantially reduces time complexity when implemented.
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Author(s) Name: Jalpa Mehta,Jayesh Patil,Rutesh Patil,Mansi Somani and Sheel Varma
Journal name: International Journal of Computer Applications
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Publisher name: IJCA
DOI: 10.5120/ijca2016909892
Volume Information: Volume 142 – No.11, May 2016
