Publisher
Springer Science and Business Media LLC
Reference51 articles.
1. Agarwal A, Xie B, Vovsha I, Rambow O, Passonneau RJ (2011) Sentiment analysis of twitter data. Proceedings of the workshop on language in social media (LSM 2011) (pp. 30–38).
2. Alsaeedi A, Khan M (2019) A study on sentiment analysis techniques of twitter data. Int J Adv Comput Sci Appl 10:361–374
3. Alyoubi S, Kalkatawi M, Abukhodair F (2023) The detection of fake news in Arabic tweets using deep learning. Appl Sci 13:8209. https://doi.org/10.3390/app13148209
4. Bansal R, Paka WS, Nidhi Sengupta S, Chakraborty T (2021) Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of covid-19 fake tweets. In: Karlapalem K. et al. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2021. Lecture Notes in Computer Science, vol 12712.
5. Bansal V, Tyagi M, Sharma R, Gupta V, Xin Q (2022). A transformer based approach for abuse detection in code mixed Indic languages. ACM transactions on Asian and low-resource language information processing.