Designing an Arabic Google Play Store User Review Dataset for Detecting App Requirement Issues
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-5559-3_12
Reference9 articles.
1. Al-Hawari, A., Najadat, H., Shatnawi, R.: Classification of application reviews into software maintenance tasks using data mining techniques (2020). https://doi.org/10.1007/s11219-020-09529-8
2. Guzman, E., Maalej, W.: How do users like this feature? A fine grained sentiment analysis of App reviews. In: 2014 IEEE 22nd International Requirements Engineering Conference, RE 2014—Proceedings, pp. 153–162 (2014). https://doi.org/10.1109/RE.2014.6912257
3. Panichella, S., Di Sorbo, A., Guzman, E., Visaggio, C.A., Canfora, G., Gall, H.C.: How can I improve my app? Classifying user reviews for software maintenance and evolution. In: 2015 IEEE 31st International Conference on Software Maintenance and Evolution, ICSME 2015—Proceedings, no. 2, pp. 281–290 (2015). https://doi.org/10.1109/ICSM.2015.7332474
4. AlSubaihin, A., Sarro, F., Black, S., Capra, L., Harman, M.: App store effects on software engineering practices. IEEE Trans. Softw. Eng. PP(8), 1–1 (2019). https://doi.org/10.1109/tse.2019.2891715
5. Fu, B., Lin, J., Li, L., Faloutsos, C., Hong, J., Sadeh, N.: Why people hate your app. 1276 (2013). https://doi.org/10.1145/2487575.2488202
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Integrating K-Means Clustering and Levenshtein Distance and K-Nearest Neighbor Algorithms for Enhanced Arabic Sentiment Analysis;Lecture Notes on Data Engineering and Communications Technologies;2024
2. Detection User Needs: LDA-Based Analysis of Arabic Reviews for Governmental Mobile Applications;Lecture Notes on Data Engineering and Communications Technologies;2024
3. Sentiment Analysis for Requirements Elicitation from App Reviews: A Systematic Mapping Study;2023 30th Asia-Pacific Software Engineering Conference (APSEC);2023-12-04
4. Arabic Sentiment Analysis on Mobile Applications Using Levenshtein Distance Algorithm and Naive Bayes;2022 2nd International Conference on Emerging Smart Technologies and Applications (eSmarTA);2022-10-25
5. Arabic Sentiment Analysis Based Machine Learning for Measuring User Satisfaction with Banking Services' Mobile Applications : Comparative Study;2022 2nd International Conference on Emerging Smart Technologies and Applications (eSmarTA);2022-10-25
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3