Ar-miner: Mining informative reviews for developers from mobile app marketplace

Abstract

With the popularity of smartphones and mobile devices, mo-bile application (a.k.a. “app”) markets have been growing exponentially in terms of number of users and download-s. App developers spend considerable effort on collecting and exploiting user feedback to improve user satisfaction, but suffer from the absence of effective user review ana-lytics tools. To facilitate mobile app developers discover the most “informative ” user reviews from a large and rapid-ly increasing pool of user reviews, we present “AR-Miner” — a novel computational framework for App Review Min-ing, which performs comprehensive analytics from raw user reviews by (i) first extracting informative user reviews by filtering noisy and irrelevant ones, (ii) then grouping the in-formative reviews automatically using topic modeling, (iii