Classification and demarcation of user feedback for mobile applications

Mobile application stores allow users to provide their feedback on the applications as star ratings and natural language text. The user feedback include useful information on the application as bug reports, feature requests, rationale for praise, or comments on the business logic of the application. The vast number of reviews makes it difficult to process the reviews manually. Machine learning approaches can support product owners to categorize the reviews and extract useful information.

This project aims at applying machine learning techniques to classify app reviews and demarcate important phrases of the reviews. The tasks include

- Annotating and demarcating app reviews to create a data set.

- Applying a traditional machine learning and a deep learning pipeline to train and compare classifiers

Skills to be obtained during the project:

- Planning and managing a research project

- Applied machine learning

- Applied natural language processing

- Data-driven requirements engineering