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Innovation and Digital Transformation for a Sustainable World

REFERENCES [12] Ghosh, S., Hazra, A., & Raj, A. (2020). A
comparative study of different classification
[1] A. Dingli, L. Mercieca, R. Spina, and M. Galea, techniques for sentiment analysis. International
“Event detection using social sensors,” in 2nd Journal of Synthetic Emotions, 11(1), 49– 57.
International Conference on Information and https://doi.org/10.4018/ijse.20200101.oa
Communication Technologies for Disaster
Management, 2015. [13] Xu, Q., Chang, V., & Jayne, C. (2022). A
systematic review of social media-based sentiment
[2] S. Takeshi, M. Okazaki, and Y. Matsuo, analysis: Emerging trends and challenges. Decision
“Earthquake shakes twitter users: real-time event Analytics Journal, 3, 100073.
detection by social sensors,” in 19th international https://doi.org/10.1016/j.dajour.2022.100073
conference on World wide web, ACM, 2010.
[14] Aspect based sentiment analysis on product
[3] J. Guerrero, J. Olivas, F. Romero, and E. Viedma, reviews. (2018, December 1). IEEE Conference
“Sentiment analysis: a review and comparative Publication | IEEE Xplore.
analysis of web services,” Information Sciences, https://ieeexplore.ieee.org/document/9096796
vol. 311, pp. 18–38, 2015.
[15] Yan-Yan Z, Bing Q, Ting L (2010) Integrating
[4] Lamba, Manika & Margam, Madhusudhan. (2022). intra-and inter-document evidences for improving
Sentiment Analysis. 10.1007/978-3-030-85085- sentence sentiment classification. Acta Autom
2_7. Sinica 36(10):1417–1425

[5] J. Guerrero, J. Olivas, F. Romero, and E. Viedma, [16] Moreo A, Romero M, Castro J, Zurita JM (2012)
“Sentiment analysis: a review and comparative Lexicon-based comments-oriented news sentiment
analysis of web services,” Information Sciences, analyzer system. Expert Syst Appl 39(10):9166–
vol. 311, pp. 18–38, 2015 9180

[6] S. Wan and C. Paris, “Improving government [17] Joshi, Aditya, et al. ―A Fall-Back Strategy for
services with social media feedback,” in 19th Sentiment Analysis in Hindi: A ... - IIT Bombay.‖
international conference on Intelligent User www.Cse.Iitb.Ac.In,
Interfaces, pp. 27–36, 2014. www.cse.iitb.ac.in/~adityaj/HindiSentiWordnet_A
dityaJ.pdf.
[7] K, K. P. (2020, August 9). A Literature review on
application of sentiment analysis using Machine [18] HOMS: Hindi opinion mining system. (2015, July
learning techniques. 1). IEEE Conference Publication | IEEE Xplore.
https://papers.ssrn.com/sol3/papers.cfm?abstract_i https://ieeexplore.ieee.org/document/7232906
d=3674982
[19] Sentiment analysis of movie review data using
[8] Yaakub, M. R., Latiffi, M. I. A., & Zaabar, L. S. Senti-lexicon algorithm. (2016). IEEE Conference
(2019). A review on sentiment analysis techniques Publication | IEEE Xplore.
and applications. IOP Conference Series: Materials https://ieeexplore.ieee.org/document/7912069
Science and Engineering, 551(1), 012070.
https://doi.org/10.1088/1757-899x/551/1/012070 [20] Kour, K., Kour, J., & Singh, P. (2020). Lexicon-
Based Sentiment analysis. In Lecture notes in
[9] Ligthart, A., Çatal, Ç., & Teki̇Nerdoğan, B. (2021). electrical engineering (pp. 1421–1430).
Systematic reviews in sentiment analysis: a tertiary https://doi.org/10.1007/978-981-15-5341- 7_108
study. Artificial Intelligence Review, 54(7), 4997–
5053. https://doi.org/10.1007/s10462-021-09973-3 [21] Joshi, Vrunda, and Vipul Vekariya. An Approach
to Sentiment Analysis on Gujarati Tweets. Vol. 10,
[10] Tan, K. L., Lee, C. P., & Lim, K. M. (2023). A no. 5, 2017, pp. 1487–1493.
survey of sentiment analysis: Approaches, datasets,
and future research. Applied Sciences, 13(7), 4550. [22] Ghosal, T., Das, S., & Bhattacharjee, S. (2015).
https://doi.org/10.3390/app13074550 Sentiment analysis on (Bengali horoscope) corpus.
www.researchgate.net/publication.
[11] Rao, A. C., Rao, A. C., & Kulkarni, C. (2022). A https://doi.org/10.1109/indicon.2015.7443551
survey on sentiment analysis methods, applications,
and challenges. Artificial Intelligence Review, [23] Kaur, A., & Gupta, V. (2014). N-Gram based
55(7), 5731–5780. https://doi.org/10.1007/s10462- approach for opinion mining of Punjabi text. In
022-10144-1 Lecture Notes in Computer Science (pp. 81–88).
https://doi.org/10.1007/978-3-319- 13365-2_8

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