Mining and Recommending Mobile App Features using Data-driven Analytics

Mobile app development necessitates the extraction of domain specific, essential and innovative features, aligning with user needs and market dynamics. Identifying features to provide competitive edge to the app developers, is a non-trivial task that is often performed manually by product managers....

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Bibliographic Details

Published in:	IEEE/ACM International Conference on Automated Software Engineering : [proceedings] pp. 2432 - 2434
Main Author:	Ali, Ramsha
Format:	Conference Proceeding
Language:	English
Published:	ACM 27.10.2024
Subjects:	app review analytics bert Bidirectional control Data mining Encoding Feature extraction lda Mobile applications Named entity recognition natural language processing ner language models nmf Software engineering Transformers
ISSN:	2643-1572
Online Access:	Get full text
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