NEGATION HANDLING PADA ANALISIS SENTIMEN ULASAN APLIKASI GOOGLE MEET MENGGUNAKAN METODE SUPPORT VECTOR MACHINE

ZOLA, VINITO ZUMMI and Yusliani, Novi and Rodiah, Desty (2023) NEGATION HANDLING PADA ANALISIS SENTIMEN ULASAN APLIKASI GOOGLE MEET MENGGUNAKAN METODE SUPPORT VECTOR MACHINE. Undergraduate thesis, Sriwijaya Unviersity.

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Abstract

The precense of negation words in a sentence can change the meaning of the sentence, which can lead to misclassification. Negation handling is used as a method to handling negation issues during classification. In this study, the negation handling process is applied to sentiment analysis of Google Meet reviews using Support Vector Machine (SVM) algorithm. Then, the analysis is performed on SVM classification with negation handling and SVM classification without negation handling based on the evaluation results. The results of the study show that the negation handling process can increase the accuracy, precision, recall, and f-measure values by 2%. SVM classification using the negation handling method has accuracy value 86%, precision value 86%, recall value 84%, and f-measure value 85%.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Sentiment Analysis, Negation Handling, Support Vector Machine
Subjects: Q Science > Q Science (General) > Q300-390 Cybernetics > Q325.5 Machine learning
Divisions: 09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Vinito Zummi Zola
Date Deposited: 27 Jun 2023 07:48
Last Modified: 27 Jun 2023 07:48
URI: http://repository.unsri.ac.id/id/eprint/113470

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