期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2016
卷号：4
期号：4
页码：6550
DOI：10.15680/IJIRCCE.2016.0404038
出版社：S&S Publications
摘要：Online reviews are helpful for user to take appropriate decision while selecting a suitable product. However due the very long and irrel evant review content users face the problem to select the appropriate review. Now days Micro - Reviews are emerging as a new review concept in social media. Micro - Reviews are short (140 - 200 characters long) and highly focus on attributes and silent features of the product. Also these reviews can be posted by check - in services through mobile apps which make them more authentic and real time. This study proposes a novel mining problem which has used both the review sources (verbose review & Micro - Review) to se lect the small set of reviews which cover maximum attributes and silent feature of the product. This is two - step process: matching of review sentences with Micro - review and selection of small set of reviews that covers as many micro - reviews as possible. T his problem is formulated by Integer Linear Programming and Greedy algorithm is used to obtain the optimal solution
关键词：Micro-review; Efficient set of reviews; Effective set of reviews; Greedy algorithm
