OPINIONS SENTIMENT ANALYSIS ON THE KARTINI FILM THROUGH X PLATFORM USING THE NAÏVE BAYES METHOD

RAMADHANI, MUHAMMAD AL-FAJR (2025) OPINIONS SENTIMENT ANALYSIS ON THE KARTINI FILM THROUGH X PLATFORM USING THE NAÏVE BAYES METHOD. Tugas Akhir thesis, Informatics.

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Abstract

Kartini is a film that portrays the struggle for women's emancipation in Indonesia and has received significant public attention on X Platform, generating a wide range of public opinions. Due to the large volume and diversity of these opinions, identifying the dominant sentiment manually is challenging. Without an appropriate method, sentiment analysis becomes inefficient and time-consuming. To address this issue, this study applies the Naïve Bayes algorithm for sentiment analysis of public opinions regarding the Kartini film on X Platform. Data were collected using web scraping techniques and underwent several preprocessing stages, including data cleaning, tokenization, stop-word removal, and stemming, to enhance model accuracy. The Naïve Bayes classifier was utilized to categorize opinions into positive and negative sentiments. The results demonstrate that public sentiment towards the Kartini film can be effectively analyzed using the Naïve Bayes model, providing a systematic and accurate understanding of public perception of a film. Keywords: Sentiment Analysis, Kartini Film, X Platform, Naïve Bayes.

Item Type: Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Sains Dan Teknologi > S1 Informatika
Depositing User: Kaprodi S1 Informatika UTY
Date Deposited: 24 Jul 2025 03:53
Last Modified: 24 Jul 2025 03:53
URI: http://eprints.uty.ac.id/id/eprint/18352

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