Sentiment analysis in google play store: Algerian reviews case

Abstract

In mobile application stores, users very often rely on the opinions of others before downloading an application and its reputation could depend entirely on them. This makes analysis of users’ reviews very interesting for application owners to take future decisions. In this paper, we are interested in analyzing Algerian reviews on application store using sentiment analysis. To the best of our knowledge, this is the first study that explores the Algerian context where reviews have the particularity of being written using different languages (French, Arabic and Algerian Dialect) making them difficult to process. We analyzed these reviews according to two existing approaches: Automatic approach based on machine learning and Lexicon-based one. Evaluation of the proposed solution is conducted on more than 50 000 reviews collected from popular Algerian applications on Google play store. The obtained results are very promising, we achieved an accuracy of 80% using the lexicon-based approach and of 72% for SVM on Dialect reviews.