  This paper presents a novel framework that utilizes Natural Language
Processing (NLP) techniques to understand user feedback on mobile applications.
The framework allows software companies to drive their technology value stream
based on user reviews, which can highlight areas for improvement. The framework
is analyzed in depth, and its modules are evaluated for their effectiveness.
The proposed approach is demonstrated to be effective through an analysis of
reviews for sixteen popular Android Play Store applications over a long period
of time.
