Zero-shot Bilingual App Reviews Mining with Large Language Models

TL;DR

This paper introduces Mini-BAR, a zero-shot tool leveraging large language models to automatically classify, cluster, summarize, and rank bilingual app reviews in English and French, enhancing requirement engineering processes.

Contribution

Mini-BAR is a novel zero-shot approach that integrates LLMs for bilingual review mining without requiring manually labeled datasets, enabling scalable analysis of app reviews.

Findings

Mini-BAR effectively classifies and clusters reviews in both languages.

The tool generates meaningful abstractive summaries for review clusters.

Experimental results show Mini-BAR's efficiency and accuracy in requirement analysis.

Abstract

App reviews from app stores are crucial for improving software requirements. A large number of valuable reviews are continually being posted, describing software problems and expected features. Effectively utilizing user reviews necessitates the extraction of relevant information, as well as their subsequent summarization. Due to the substantial volume of user reviews, manual analysis is arduous. Various approaches based on natural language processing (NLP) have been proposed for automatic user review mining. However, the majority of them requires a manually crafted dataset to train their models, which limits their usage in real-world scenarios. In this work, we propose Mini-BAR, a tool that integrates large language models (LLMs) to perform zero-shot mining of user reviews in both English and French. Specifically, Mini-BAR is designed to (i) classify the user reviews, (ii) cluster similar reviews together, (iii) generate an abstractive summary for each cluster and (iv) rank the user review clusters. To evaluate the performance of Mini-BAR, we created a dataset containing 6,000 English and 6,000 French annotated user reviews and conducted extensive experiments. Preliminary results demonstrate the effectiveness and efficiency of Mini-BAR in requirement engineering by analyzing bilingual app reviews. (Replication package containing the code, dataset, and experiment setups on https://github.com/Jl-wei/mini-bar )