Aspect Extraction and Sentiment Classification of Mobile Apps using App-Store Reviews

TL;DR

This paper presents a method for extracting aspects and sentiments from mobile app reviews, categorizing aspects by importance to aid developers in prioritizing their development efforts.

Contribution

It introduces a novel approach for aspect extraction, sentiment classification, and importance categorization specifically tailored for mobile app reviews.

Findings

Successfully extracted and categorized aspects from app reviews

Prioritized development focus based on aspect importance

Enhanced understanding of customer sentiment in mobile apps

Abstract

Understanding of customer sentiment can be useful for product development. On top of that if the priorities for the development order can be known, then development procedure become simpler. This work has tried to address this issue in the mobile app domain. Along with aspect and opinion extraction this work has also categorized the extracted aspects ac-cording to their importance. This can help developers to focus their time and energy at the right place.