The effect of using Emoji and Hashtag in sentiment analysis on Twitter case study: Indonesian online travel agent

Muhammad Shofwan Amrullah, Indra Budi, Aris Budi Santoso, Prabu Kresna Putra

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Science and Technology
EditorsTomohiro Yokozeki, Gil Nonato C. Santos, Rohayu Che Omar, Widodo, Abraham Cardenas Tristan, Ratih Fitria Putri, I. Wayan Mustika
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735443150
DOIs
Publication statusPublished - 14 Feb 2023
Event7th International Conference on Science and Technology, ICST 2021 - Yogyakarta, Indonesia
Duration: 7 Sept 20218 Sept 2021

Publication series

NameAIP Conference Proceedings
Volume2654
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference7th International Conference on Science and Technology, ICST 2021
Country/TerritoryIndonesia
CityYogyakarta
Period7/09/218/09/21

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