Skripsi

ANALISIS SENTIMEN MEDIA SOSIAL X TERHADAP FILM DOKUMENTER “DIRTY VOTE” MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM)

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This research aims to analyze the sentiment of the documentary film "Dirty Vote" based on public comments on social media X using the Support Vector Machine (SVM) method. The movie "Dirty Vote" is a criticism of the implementation of elections and candidate pairs in Indonesia, thus triggering various reactions among the public. Public comments on social media X became a valuable source of information to understand the sentiment towards this movie. In this study, we implemented the SVM classification algorithm to classify comments as positive or negative sentiment. Comment data from social media X was collected and went through a text pre-processing stage, then relevant features were extracted to train the SVM model. The evaluation results show that the SVM method can recognize the sentiment of comments on the movie "Dirty Vote" with significant accuracy. The findings provide valuable insights for filmmakers, researchers, and related parties regarding the acceptance of the movie by the public. This research also confirms the potential use of the SVM method in sentiment analysis on comment data on social media, which can be applied in other contexts in the future.

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Availability

Detail Information

Series Title

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Call Number

T1517522024

Publisher

Indralaya : Prodi Sistem Informasi, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024

Collation

xiii, 126 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.312 07

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Support Vector Machine
Prodi Sistem Informasi

Specific Detail Info

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Statement of Responsibility

KA

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