Aspect Extraction using Informative Data from Mobile App Data Review
Budi Eko, Divi Galih, Endang Wahyu · International Journal of Computer Applications · 2017
User review of mobile application is an valuable data that can be used by developer to improve their application or to build similar application.User can give feedback such as reporting errors, asking for new or improved feature, explain their experience of using certain feature and also praise or dispraise.User review or opinion data is very large in amount and difficult to analyze.It is time consuming and labour expensive to do it manually.Recent study has tried to extract product feature using word collocation.In this work, we try to improve the aspect extraction process by using only informative data.We took user opinion of 3 mobile application from application distribution platform.The experiment result indicate that our approach is able to improve the performance of collocation finding method..