ANALISIS SENTIMEN TRENDING TOPIK DI MEDIA SOSIAL TWITTER MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER

MUHAIMIN, IBNU ALANA and Fathoni, Fathoni (2023) ANALISIS SENTIMEN TRENDING TOPIK DI MEDIA SOSIAL TWITTER MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER. Undergraduate thesis, Sriwijaya University.

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Abstract

Twitter is a social media platform that contains information such as current news, personal biographies, and tweets from its users. Twitter has a feature called trending topics, which functions to identify specific popular topics. However, it is often difficult to understand the sentiment associated with these trending topics. Therefore, it is important to classify the sentiment of trending topics with the aim of understanding how people respond to and perceive popular topics on Twitter. The method used for sentiment analysis in this study is the naive Bayes classifier, and data validation is performed using k-fold cross-validation with fold values of 2,3,4,5,6,7,8,9 anda 10 to obtain the best accuracy model. The testing conducted using the RapidMiner application revealed that the best accuracy was achieved with the model at fold = 7, with an accuracy value of 65.55%, precision value of 59.71%, and recall value of 36.53%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Analisis Sentimen, Twitter, Trending Topik, Naïve Bayes Classifier
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	Mr ibnu alana muhaimin
Date Deposited:	26 Jul 2023 05:26
Last Modified:	26 Jul 2023 05:26
URI:	http://repository.unsri.ac.id/id/eprint/121986

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