Detection User Needs: LDA-Based Analysis of Arabic Reviews for Governmental Mobile Applications
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-59711-4_17
Reference15 articles.
1. Panichella, S., Di Sorbo, A., Guzman, E, Visaggio, C., Canfora, G., Gall, H.: How can i improve my app? Classifying user reviews for software maintenance and evolution. In: IEEE 31st International Conference on Software Maintenance and Evolution, ICSME 2015, vol. 2, pp. 281–290. (2015)
2. Hadwan, M., Al-Sarem, M., Saeed, F., Al-Hagery, M.: An Improved sentiment classification approach for measuring user satisfaction toward governmental services’ mobile apps using machine learning methods with feature engineering and SMOTE Technique. Appl. Sci. 2022, 12, 5547. https://doi.org/10.3390/app12115547 (2022)
3. Advances in Intelligent Systems and Computing;M Al-Shamani,2022
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5. Taulli, T.: Natural Language Processing (NLP). In: Artificial Intelligence Basics, pp. 103–124. Apress, Berkeley, CA (2019). https://doi.org/10.1007/978-1-4842-5028-0_6
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