Sparsh Arora - Academia.edu (original) (raw)
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Université des Sciences et Technologie Houari Boumediene (USTHB)
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The growth of social media has been exponential within the recent years. Complete information is ... more The growth of social media has been exponential within the recent years. Complete information is being put out on the domains directly through social media. Sarcastic tweets can mislead processing activities and end in wrong classification. This paper compares various classification algorithms like Random Forest, SVC, Logistic Regression, Linear SVC and Gaussian Naïve Bayes to detect sarcasm within the input given by the user, the simplest classifier is chosen and paired with various pre-processing and filtering techniques using emojis to supply the simplest possible output. The emojis being the central idea introduced through this paper, the obtained results may be used as an input for other research and applications.
The growth of social media has been exponential within the recent years. Complete information is ... more The growth of social media has been exponential within the recent years. Complete information is being put out on the domains directly through social media. Sarcastic tweets can mislead processing activities and end in wrong classification. This paper compares various classification algorithms like Random Forest, SVC, Logistic Regression, Linear SVC and Gaussian Naïve Bayes to detect sarcasm within the input given by the user, the simplest classifier is chosen and paired with various pre-processing and filtering techniques using emojis to supply the simplest possible output. The emojis being the central idea introduced through this paper, the obtained results may be used as an input for other research and applications.