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[email protected]. +91 8800440559This paper presents a versatile approach to addressing sentiment analysis issues, based on multiple interpretations of sentiment labels that encode information regarding the polarity, subjectivity, and ambiguity of a text, as well as the presence of sarcasm or a mixture of sentiments. 11. Highly Influenced. • Microaggressions (Breitfeller et al. 2019) • Condescension (Wang and Potts 2019) • Sarcasm (Khodak et al. 2017) • Deception and betrayal (Niculae et al. 2015) • Online trolls (Cheng et al. 2017) • Polarization (Gentzkow et al. 2019) • Politeness (Danescu-Niculescu-Mizil et al. 2013) • Linguistic alignment (Doyle et al. 2016) 7/57 Students Appearing for Maharashtra 12th Class Exam need to Get Familiar with the Exam Pattern and Question Paper design. 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