ANALYSING HYPERBOLIC FEATURES OF SARCASTIC TWEETS OF DIFFERENT SENTIMENT POLARITIES

NOR EISYA SHABILA, ISMAIL (2020) ANALYSING HYPERBOLIC FEATURES OF SARCASTIC TWEETS OF DIFFERENT SENTIMENT POLARITIES. [Final Year Project Report] (Unpublished)

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Abstract

The increasing use of Twitter as a medium of communication has led to more linguistic analysis of its content. One area which is crucial but lacking in research is sarcasm usage in tTweets. This study aims to analyse hyperbolic features of sarcastic tTweets from different sentiment polarities. This research applieds qualitative methods to analyse and investigate the sarcasm usage found among the users in the context of an asynchronous social network platform (Twitter). This research implements few methods for strengthening the methodology which includes data corpus, and content analysis using two main instruments, known as SummarizeBot tool, and Antconc. software. The tweets gathered are mainly according to the sarcastic remarks or hashtags, which include #sarcasm #sarcastic, #notreally, and #justsaying. In this study, 500 tweets were selected for analysis with approximately 11, 000 words counts. The findings show that the highly used sentiment polarity in sarcastic tweets are positive sentiment. In addition, this study found outreveals that hyperbolic features alsowere present in detected more than 50% of the corpus. Based on the findings, sarcasm can be identified as one of the human’s creativity in language use. However, these findings are remained uncertainmay not be conclusive if it will be the same for the future because the use of sarcasm can change from time to time based on their purpose of creating the true meaning of the sentences through sarcasm. Thus, further studies are needed to identify other linguistic features of sarcastic tweets to ease communication.

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