Jul 5, 2017 · The extracted feature requests can be viewed as new requests of the mobile app, and therefore they can also serve as a basis of the mobile app ...
现有文章中采用的分类算法及其年份分布如图于SentiStrength [61] 、SnowNLP 、Senti4SD [62] 等工具对用户评论进行情感分类,将用户反馈的情感分类为积极、 消极以及中立.
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What is the feature extraction approach?
How do I get people to review my apps?
This work designs MARA (Mobile App Review Analyzer), a prototype for automatic retrieval of mobile app feature requests from online reviews.
In this paper, we propose SAFE, a novel uniform approach to extract app features from the single app pages, the single reviews and to match them.
Missing: Requests | Show results with:Requests
In this study, we contend that these reviews can be used to generate software change request document for improving mobile apps.
In this study, in order to facilitate app maintenance and evolution cycles, we develop two novel automated prioritization techniques to rank informative ...
We develop three approaches (individual attribute-based approach, weighted approach and regression-based approach) that may help developers to prioritize ...
Enhancing User Trust and Interpretability in AI-Driven Feature Request Detection for Mobile App Reviews: An Explainable Approach. Article. Full-text available.
Jan 8, 2024 · In this study, we present T-FREX, a Transformer-based, fully automatic approach for mobile app review feature extraction.
The proposed approach has five main building blocks, namely, (i) Extraction of Feature. Requests, (ii) Feature Extraction from Feature Requests, (iii) topic ...