Aspect Extraction and Sentiment Classification of Mobile Apps using App-Store Reviews
This addresses mobile app developers' need to efficiently allocate resources based on customer feedback, though it appears incremental in sentiment analysis.
The paper tackled the problem of prioritizing mobile app development by extracting aspects and opinions from app-store reviews and categorizing them by importance, helping developers focus their efforts more effectively.
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.