Affiliation:
1. Delhi Technological University, India
Abstract
Sarcasm is a procedure of verbal irony that is planned to convey ridicule, contempt, or mockery. Because sarcasm can change a statement's meaning, the viewpoint analysis procedure is susceptible to mistakes. Sarcastic remarks simply have reduced the effectiveness of sentiment estimation, according to the prior study. This chapter uses the unsupervised mathematical optimisation-based language model to create a sarcasm recognition system between human-computer interactions. The proposed model is mostly focused on sarcasm detection and misconception comments circulating on social networks. The first level of data preparation is in the described proposed strategy. The ensemble language modelling with the Wilson's algorithm is used to identify and categorise sarcasm which enhances its detection performance. The four datasets were created to perform the experimental findings of the proposed methodology. The results highlighted enhanced outcomes by proposed method.