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Twitter Sentiment Analysis in Indonesian Language using Naive Bayes Classification Method

Alimuddin, Alimuddin and Adipura Wicaksana, Cakra and Fatkhurrokhman, Mohammad and Pratama, Hafiyyan Putra and Tryawan, Rifaldi and Rinanda, Febriani (2023) Twitter Sentiment Analysis in Indonesian Language using Naive Bayes Classification Method. In: 2022 International Conference on Informatics Electrical and Electronics (ICIEE), 05-07 October 2022, Yogyakartan Indoneisa.

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Social media is a very large source of data and has continuous and very short changes, the time span of which changes also has considerable relevance for various fields. The purpose of this study as a sentiment analysis aimed at twitter status discussing daily topics to determine the attitude of opinion from tweets posted on a trending topic online using the Naive Bayes Classifier method. With various series of steps carried out, namely data collection from Twitter, preprocessing, classification process with the Naives Bayes Classifier algorithm, and evaluation of the results determined by this method. The results at the time of testing, namely in the form of the highest accuracy value obtained in testing 40 tweet data by 82% with a time of 19.92 seconds, for the highest precision value in testing 10, 20, and 50 tweet data by 100% with a time of 14, 85 seconds, for the highest recall value in testing 40 tweet data of 81.82% with a time of 16.09 seconds, for the highest F1-Score value in testing 40 tweet data of 88.52% with a time of 16.38 seconds.

Item Type: Conference or Workshop Item (Paper)
AuthorAlimuddin, Alimuddin197204172008121004
AuthorAdipura Wicaksana, Cakra199006282019031010
AuthorFatkhurrokhman, Mohammad198904052019031010
AuthorPratama, Hafiyyan Putra20 I 20001130002376
AuthorTryawan, Rifaldi0
AuthorRinanda, Febriani0
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: 03-Fakultas Teknik > 20201-Jurusan Teknik Elektro
Depositing User: Mr Alimuddin Alimuddin
Date Deposited: 25 Jan 2023 09:51
Last Modified: 25 Jan 2023 09:51

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