Comparative Study of Sentiment Analysis on Cyber Security Related Multi-sourced Data in Social Media Platforms

Author:

Kapur Keshav,Harikrishnan Rajitha,Raghavendra S.

Publisher

Springer Nature Singapore

Reference12 articles.

1. Kharde, V.A., Sonawane, P.S.: Sentiment analysis of twitter data: a survey of techniques. https://doi.org/10.5120/ijca2016908625

2. Hoang, M., Bihorac, O.A., Rouces, J.: Aspect-based sentiment analysis using BERT. In: Proceedings of the 22nd Nordic Conference on Computational Linguistics, pp. 187–196. Linköping University Electronic Press, Turku (2019)

3. Kapur, K., Harikrishnan, R., Singh, S.: MaNLP@SMM4H’22: BERT for classification of twitter posts. In: Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task, pp. 42–43. Association for Computational Linguistics, Gyeongju (2022)

4. Ke, Z., Sheng, J., Li, Z., Silamu, W., Guo, Q.: Knowledge-guided sentiment analysis via learning from natural language explanations. IEEE Access 9, 3570–3578 (2021). https://doi.org/10.1109/ACCESS.2020.3048088

5. Chen, H., Hu, S., Hua, R., Zhao, X.: Improved Naive Bayes classification algorithm for traffic risk management. EURASIP J. Adv. Sig. Process. 2021(1), 1–12 (2021). https://doi.org/10.1186/s13634-021-00742-6

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