Author:
Sukhavasi Vidyullatha,Sistla Venkatrama Phani kumar,Dondeti Venkatesulu
Publisher
Springer Science and Business Media LLC
Reference30 articles.
1. Chatterjee N, Aggarwal T, Maheshwari R (2020) Sarcasm detection using deep learning-based techniques. Deep learning-based approaches for sentiment analysis, Springer, pp 237–258
2. Muaad AY, Davanagere HJ, Benifa JV, Alabrah A, Saif MAN, Pushpa D, Al-Antari MA, Alfakih TM (2022) Artificial intelligence-based approach for misogyny and sarcasm detection from Arabic texts. Comput Intell Neurosci 1:7937667
3. Bharti SK, Pradhan R, Babu KS, Jena SK (2017) Sarcasm analysis on twitter data using machine learning approaches. Trends in social network analysis: Information propagation, user behavior modeling, forecasting, and vulnerability assessment, pp 51–76
4. Bhardwaj S, Prusty MR (2022) BERT pre-processed deep learning model for sarcasm detection. Natl Acad Sci Lett 45(2):203–208
5. Du Y, Li T, Pathan MS, Teklehaimanot HK, Yang Z (2021) An effective sarcasm detection approach based on sentimental context and individual expression habits cognit. Comput. 0123456789. https://doi.org/10.1007/s12559-021-09832-x.