An Annexure to the Paper "Driving the Technology Value Stream by Analyzing App Reviews"

Souvick Das, Novarun Deb, Agostino Cortesi, Nabendu Chaki
3/8/2023
cs.SEcs.AI

No confident code implementation found for this paper. 1 possible match can be shown below.

Abstract

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

What Users Value and Critique: Large-Scale Analysis of User Feedback on AI-Powered Mobile Apps

83% match2025

From Reviews to Requirements: Can LLMs Generate Human-Like User Stories?

81% match2026

From Voice to Value: Leveraging AI to Enhance Spoken Online Reviews on the Go

81% match2024

Fairness Concerns in App Reviews: A Study on AI-based Mobile Apps

80% match2024

Sentiment Analysis on YouTube Smart Phone Unboxing Video Reviews in Sri Lanka

79% match2023

The use of new technologies to support Public Administration. Sentiment analysis and the case of the app IO

79% match2023

Cite this paper

@article{das2023annexure,
  title  = {An Annexure to the Paper "Driving the Technology Value Stream by Analyzing App Reviews"},
  author = {Souvick Das and Novarun Deb and Agostino Cortesi and Nabendu Chaki},
  year   = {2023},
  eprint = {2303.04519},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2303.04519v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2303.04519.svg)](https://codeofpaper.com/paper/2303.04519)

Discussion