Filtering Useful App Reviews Using Naïve Bayes—Which Naïve Bayes?

Filtering Useful App Reviews Using Naïve Bayes—Which Naïve Bayes?

App reviews provide crucial feedback for software maintenance and evolution, but manually extracting useful reviews from vast volumes is time-consuming and challenging. This study investigates the effectiveness of six Naïve Bayes variants for automatically filtering useful app reviews. We evaluated...

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Bibliographic Details
Main Authors: Pouya Ataei, Sri Regula, Daniel Staegemann, Saurabh Malgaonkar
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:AI
Subjects:
app review classification
naïve bayes variants
text mining
software maintenance
machine learning
expectation maximization
Online Access:https://www.mdpi.com/2673-2688/5/4/110
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https://www.mdpi.com/2673-2688/5/4/110

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