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- W4320737669 abstract "Twitter is one of the world’s largest social media, reaching 330 million active users every month. Therefore, conducting sentiment analysis on Twitter should give a representative picture related to public perception. Twitter allows its users to use Hashtags and Emoji while posting a Tweet, and those become common on Twitter. Emojis and Hashtags can sometimes be decisive information for a Tweet’s sentiment. Therefore, a study was conducted to find out how far Emoji’s and Hashtag’s influence if included as information when conducting sentiment analysis. The results showed that when doing sentiment analysis using the Naïve Bayes model, the one that includes Emoji got slightly better overall performance than other variants, with accuracy 77.55%, precision 0.819, recall 0.887, and F1-score 0.852. We conclude that in our case, Emoji and Hashtag do not significantly improve the performance but are worth considering in future research." @default.
- W4320737669 created "2023-02-15" @default.
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- W4320737669 date "2023-01-01" @default.
- W4320737669 modified "2023-10-16" @default.
- W4320737669 title "The effect of using Emoji and Hashtag in sentiment analysis on Twitter case study: Indonesian online travel agent" @default.
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- W4320737669 doi "https://doi.org/10.1063/5.0118228" @default.
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