Sentiment Analysis using Multi-Criteria Against Public Figures

© 2022 by IJCTT Journal
Volume-70 Issue-6
Year of Publication : 2022
Authors : Rina Candra Noor Santi, Kristophorus Hadiono, Sri Eniyati, Sugiyamta
DOI :  10.14445/22312803/IJCTT-V70I6P103

How to Cite?

Rina Candra Noor Santi, Kristophorus Hadiono, Sri Eniyati, Sugiyamta, "Sentiment Analysis using Multi-Criteria Against Public Figures," International Journal of Computer Trends and Technology, vol. 70, no. 6, pp. 24-29, 2022. Crossref,


This study tries to classify the sentiments or opinions expressed through social media Twitter tweeted by a public figure and grouped based on several criteria of performance, character, and popularity. For performance criteria, the measurement takes tweets related to the words service and giat. This study analyzes positive, negative, and neutral sentiments from public figures` tweets on Twitter based on performance, character, and popularity criteria. The tweet data obtained from Twitter is 800 tweets where the performance criteria are sorted by the words service and active; a total of 334 tweets were obtained. For the character criteria, the data is sorted by good and firm words, and data is obtained from as many as 232 tweets, while for the popularity criteria, the data sorting is carried out Based on the words like and know; 234 tweets were obtained. The final data is displayed in graphical form. From the graph, it can be explained that the sentiment performance criteria generated are neutral, the sentiment character criteria generated are neutral, and the sentiment population criteria generated are neutral. So it can be concluded that each of these criteria has neutral sentiments.

Sentiment analysis, Social network, Twitter, Performance, Character, Popularity.


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