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Electrotechnical and Computer Engineering

Vol. 38 No. 03 (2023): Proceedings of Faculty of Technical Sciences

PREDICTING APPLICATION RATINGS BASED ON USER REVIEWS

  • Marko Mijatović
DOI:
https://doi.org/10.24867/22BE04Mijatovic
Submitted
October 20, 2022
Published
2023-03-04

Abstract

This paper presents a specification, implementation and evaluation of a system that predicts the rating of application based on textual comments. Two approaches were compared - recurrent neural networks and ensemble models.

References

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[2] M. Umer, I. Ashraf, A. Mehmood, S. Ullah, and G. S. Choi, “Predicting numeric ratings for Google apps using text features and ensemble learning,” ETRI Journal, vol. 43, no. 1, pp. 95–108, Feb. 2021, doi: 10.4218/etrij.2019-0443.
[3] B. Gezici, N. Bolucu, A. Tarhan, and B. Can, “Neural Sentiment Analysis of User Reviews to Predict User Ratings,” in 2019 4th International Conference on Computer Science and Engineering (UBMK), Samsun, Turkey, Sep. 2019, pp. 629–634. doi: 10.1109/UBMK.2019.8907234.
[4] https://www.kaggle.com/datasets/prakharrathi25/google-play-store-reviews