Abstract
In the recent years, many people use social media such as twitter to express distressed emotions. Proofs establish that depressed people utilize Twitter to express their feelings. To provide help to the distressed, we believe sentiment analysis serves this purpose because it is a field of study that analyses sentiments and emotions from the text. However, there is a need for an additional factor to be considered while performing sentiment analysis to make the process more effective and accurate. Emojis can fulfil this purpose since it can express one’s emotions effectively irrespective of their diversities. Sentiment analysis on tweets through emojis would classify the tweets into different category of emotions, thereby making the process of extraction of emojis indicating negative feelings trouble-free. From obtained results, we intend to help the affected through an in-platform reply to the tweet with the details of appropriate authorities who will do the needful.
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Maneesha, S., Srihari, S., Mamatha, H.R. (2022). Sentiment Analysis on Tweets Using Emojis to Help the Distressed. In: Shakya, S., Du, KL., Haoxiang, W. (eds) Proceedings of Second International Conference on Sustainable Expert Systems . Lecture Notes in Networks and Systems, vol 351. Springer, Singapore. https://doi.org/10.1007/978-981-16-7657-4_60
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DOI: https://doi.org/10.1007/978-981-16-7657-4_60
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