ANALISIS SENTIMEN OPINI PUBLIK DI X DALAM MENILAI CITRA POLITIK PRABOWO-GIBRAN TERKAIT PENGGUNAAN MASKOT “GEMOY” HASIL AI-GENERATED

INTARI, RULIA INFAH and Alamsyah, Alamsyah and Handoko, Adi Inggit (2024) ANALISIS SENTIMEN OPINI PUBLIK DI X DALAM MENILAI CITRA POLITIK PRABOWO-GIBRAN TERKAIT PENGGUNAAN MASKOT “GEMOY” HASIL AI-GENERATED. Undergraduate thesis, Sriwijaya University.

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Abstract

This study aims to examine public opinion on the social media platform X regarding the political image of Prabowo-Gibran in relation to the use of the AI-generated mascot “Gemoy.” The research employs a quantitative approach using sentiment analysis as its method. Data were collected through crawling techniques using the Python programming language on Google Colab. Sentiment classification (positive, negative, or neutral) was conducted using the Naive Bayes algorithm. The results of the sentiment analysis were then described using the political branding theory based on the concepts proposed by Gelder, namely positioning, personality, and brand identity. The findings reveal that, based on sentiment analysis of tweet data collected from November 28, 2023, to February 10, 2024, the majority of sentiments were neutral with a slight tendency toward positivity. Out of a total of 1,212 tweets, 639 tweets expressed neutral sentiment, 502 tweets showed positive sentiment, and 71 tweets displayed negative sentiment. Th

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Analisis Sentimen, Maskot AI, Prabowo-Gibran, Political Branding
Subjects:	H Social Sciences > HF Commerce > HF5801-6182 Advertising J Political Science > JA Political science (General) > JA1-92 Political science (General) J Political Science > JA Political science (General) > JA71-80 Theory. Relations to other subjects N Fine Arts > NC Drawing Design Illustration > NC997-1003 Commercial art. Advertising art
Divisions:	07-Faculty of Social and Politic Science > 70201-Communication Science (S1)
Depositing User:	Rulia Infah Intari
Date Deposited:	20 Jan 2025 08:55
Last Modified:	21 Jan 2025 04:18
URI:	http://repository.unsri.ac.id/id/eprint/165991

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