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Original Article
Sentiment Analysis of Google Play Store Reviews Using Bidirectional LSTM Networks
Joga Sharmila1
Suneel Kumar Duvvuri2
1 Student, MSc Computer Science, Government College (Autonomous), Rajahmundry, Andhra Pradesh, India. 2 Assistant professor, Department of Computer Science, Government College (Autonomous), Rajahmundry, Andhra Pradesh, India.
Published Online: March-April 2026
Pages: 165-174
Cite this article
↗ https://www.doi.org/10.59256/ijsreat.20260602023
References
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16. Y. Kim, “Convolutional Neural Networks for Sentence Classification,” Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, Apr. 2014, doi: 10.3115/v1/D14-1181.
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22. R. Szeliski, Computer Vision: Algorithms and Applications (Texts in Computer Science). 2010.
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26. S. Robertson and H. Zaragoza, “The Probabilistic Relevance Framework: BM25 and Beyond,” Foundations and Trends in Information Retrieval, vol. 3, pp. 333–389, Apr. 2009, doi: 10.1561/1500000019.
27. S. Shakerin, “Engineering Art,” Mechanical Engineering, vol. 123, p. 66, Apr. 2001, doi: 10.1115/1.2001-JUL-5.
28. P. Turney, “Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews,” Computing Research Repository - CORR, pp. 417–424, Apr. 2002, doi: 10.3115/1073083.1073153.
29. N. Sharma, A. B. M. S. Ali, and A. Kabir, “A review of sentiment analysis: tasks, applications, and deep learning techniques,” Int. J. Data Sci. Anal., vol. 19, pp. 351–388, Apr. 2024, doi: 10.1007/s41060-024-00594-x.
30. A. Hajro, “THE PROFILE OF A LEADER AND HIS LEDERSHIP,” Knowledge International Journal, vol. 28, pp. 345–350, Apr. 2018, doi: 10.35120/kij2801345h.
31. J. Osgood, “Ground-Water’s Role in Water Quality Management,” Journal of the Hydraulics Division, vol. 101, pp. 517–521, Apr. 1975, doi: 10.1061/JYCEAJ.0004236.
32. E. Maassen and J. Wicherts, “Distinguishing Specific from General Effects in Cognition Research,” J. Appl. Res. Mem. Cogn., vol. 8, pp. 288–292, Apr. 2019, doi: 10.1016/j.jarmac.2019.06.007.
2. B. Liu and L. Zhang, “A survey of opinion mining and sentiment analysis,” Mining Text Data, pp. 415–463, Apr. 2013, doi: 10.1007/978-1-4614-3223-4_13.
3. S. Schütz, L. Eggert, S. Schmid, and M. Brunner, “Protocol enhancements for intermittently connected hosts,” Computer Communication Review, vol. 35, pp. 5–18, Apr. 2005, doi: 10.1145/1070873.1070875.
4. R. Karimzadeh, M. Zakeri, and S. Iranipour, “Spatial distribution pattern of alfalfa leaf weevil Hypera postica and root weevils Sitona spp. (Coleoptera: Curculionidae) in alfalfa fields,” Apr. 2020.
5. A. Ottersbach, J. Breitenfelder, and I. Pleslic-Kulusic, “Mittelfristige Ergebnisse der Operation nach Hohmann- Wilhelm bei der Epicondylitis humeri radialis,” Praxis, vol. Orthopädische Praxis, pp. 389–391, Apr. 2002.
6. J. Pennington, R. Socher, and C. Manning, “Glove: Global Vectors for Word Representation,” in EMNLP, Apr. 2014, pp. 1532–1543. doi: 10.3115/v1/D14-1162.
7. Kuppili Nikhita, Dondapati Sasi Prasanna, and Suneel Kumar Duvvuri, “Milk Quality Prediction using Machine Learning and Deep Learning Techniques,” International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 12, no. 2, pp. 434–446, Apr. 2026, doi: 10.32628/CSEIT26121370.
8. S. K. DUVVURI, Applications of Artificial Intelligence Across Domains . Commissionerate of Collegiate Education, Government of Andhra Pradesh , 2026. doi: 10.5281/zenodo.18623057.
9. S. Wyche and R. Grinter, “Extraordinary computing: Religion as a lens for reconsidering the home,” Apr. 2009, pp. 749–758. doi: 10.1145/1518701.1518817.
10. J. Cowie, “Productivity and performance in the British rail freight industry since privatisation.”.
11. S. Hochreiter and J. Schmidhuber, “Long Short-Term Memory,” Neural Comput., vol. 9, pp. 1735–1780, Apr. 1997, doi: 10.1162/neco.1997.9.8.1735.
12. B. Shi, X. Bai, and C. Yao, “An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition,” IEEE Trans. Pattern Anal. Mach. Intell., vol. PP, Apr. 2015, doi: 10.1109/TPAMI.2016.2646371.
13. F. Eger, “Theorien des Jugendamtes,” 2008. doi: 10.1007/978-3-531-91150-2_3.
14. N. Büchi, “Internationale Beziehungen : die Schweiz unter Partnern bei der NATO,” Apr. 2016, doi: 10.5169/seals-587070.
15. A. Lucas and S. Sarma, “Electronic sound modes and plasmons in hydrodynamic two-dimensional metals,” Phys. Rev. B, vol. 97, Apr. 2018, doi: 10.1103/PhysRevB.97.115449.
16. Y. Kim, “Convolutional Neural Networks for Sentence Classification,” Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, Apr. 2014, doi: 10.3115/v1/D14-1181.
17. J. Dunger and S. Biller, “Multi-site Event Discrimination in Large Liquid Scintillation Detectors,” Apr. 2019. doi: 10.48550/arXiv.1904.00440.
18. A. Vaswani et al., “Attention Is All You Need,” Apr. 2017, doi: 10.48550/arXiv.1706.03762.
19. H. Song, B. Kim, B. Lee, and J. Seo, “A Comparative Evaluation on Tree Visualization Methods for Hierarchical Structures with Large Fan-outs,” in Conference on Human Factors in Computing Systems - Proceedings, Apr. 2010, pp. 223–232. doi: 10.1145/1753326.1753359.
20. D. Dana et al., “Prolonged Detection of Zika Virus RNA in Pregnant Women,” Obstetrics and gynecology, vol. 128, Apr. 2016, doi: 10.1097/AOG.0000000000001625.
21. Y. Miralles and S. Cnudde, “Sandrine Cnudde, la marche la poésie,” Le français aujourd’hui, vol. 197, p. 143, Apr. 2017, doi: 10.3917/lfa.197.0143.
22. R. Szeliski, Computer Vision: Algorithms and Applications (Texts in Computer Science). 2010.
23. C. Burges et al., “Learning to Rank using Gradient Descent,” in ICML 2005 - Proceedings of the 22nd International Conference on Machine Learning, Apr. 2005, pp. 89–96. doi: 10.1145/1102351.1102363.
24. R. Caruana and J. Schaffer, “Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms,” Apr. 1988, pp. 153–161. doi: 10.1016/B978-0-934613-64-4.50021-9.
25. M. Adriani, J. Asian, B. Nazief, S. M. M. Tahaghoghi, and H. Williams, “Stemming Indonesian: A confix-stripping approach.,” ACM Trans. Asian Lang. Inf. Process., vol. 6, Apr. 2007.
26. S. Robertson and H. Zaragoza, “The Probabilistic Relevance Framework: BM25 and Beyond,” Foundations and Trends in Information Retrieval, vol. 3, pp. 333–389, Apr. 2009, doi: 10.1561/1500000019.
27. S. Shakerin, “Engineering Art,” Mechanical Engineering, vol. 123, p. 66, Apr. 2001, doi: 10.1115/1.2001-JUL-5.
28. P. Turney, “Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews,” Computing Research Repository - CORR, pp. 417–424, Apr. 2002, doi: 10.3115/1073083.1073153.
29. N. Sharma, A. B. M. S. Ali, and A. Kabir, “A review of sentiment analysis: tasks, applications, and deep learning techniques,” Int. J. Data Sci. Anal., vol. 19, pp. 351–388, Apr. 2024, doi: 10.1007/s41060-024-00594-x.
30. A. Hajro, “THE PROFILE OF A LEADER AND HIS LEDERSHIP,” Knowledge International Journal, vol. 28, pp. 345–350, Apr. 2018, doi: 10.35120/kij2801345h.
31. J. Osgood, “Ground-Water’s Role in Water Quality Management,” Journal of the Hydraulics Division, vol. 101, pp. 517–521, Apr. 1975, doi: 10.1061/JYCEAJ.0004236.
32. E. Maassen and J. Wicherts, “Distinguishing Specific from General Effects in Cognition Research,” J. Appl. Res. Mem. Cogn., vol. 8, pp. 288–292, Apr. 2019, doi: 10.1016/j.jarmac.2019.06.007.
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