1. Bharti, S. K., Vachha, B., Pradhan, R. K., Babu, K. S., & Jena, S. K. (2016). Sarcastic Sentiment. https://www.sciencedirect.com/science/article/pii/S235286481630027X
2. Bhattacharyya, P. (2017). Sarcasm Detection: A Computational and Cognitive Study. Department of Computer Science and Engineering, IIT, Madras. https://nlp.stanford.edu/seminar/details/pbhattacharyya.pdf
3. Blockchain-Based Digital Rights Management Techniques;N. H. H.Cuong;Large-Scale Data Streaming, Processing, and Blockchain Security,2021
4. Datta, D., Majumdar, S., Sen., O., & Sen, A. (2019). Mood and Vulnerability Prediction through Natural Language Processing. International Journal of Innovative Technology and Exploring Engineering, 9(2). https://www.ijitee.org/wp-content/uploads/papers/v9i2/B6158129219.pdf
5. Dharmavarapu, B. D., & Bayana, J. (2019). Sarcasm Detection in Twitter using Sentiment Analysis. International Journal of Recent Technology and Engineering, 8(4), 642-644. https://www.ijrte.org/wp-content/uploads/papers/v8i1s4/ A11180681S419. pdf