ANALISIS SENTIMEN TERHADAP PERSEPSI MASYARAKAT MENGENAI SEA GAMES 2023 MENGGUNAKAN METODE LONG SHORT-TERM MEMORY (LSTM)

SALSABILA, HANIA and Utami, Alvi Syahrini and Darmawahyuni, Annisa (2024) ANALISIS SENTIMEN TERHADAP PERSEPSI MASYARAKAT MENGENAI SEA GAMES 2023 MENGGUNAKAN METODE LONG SHORT-TERM MEMORY (LSTM). Undergraduate thesis, Sriwijaya University.

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Abstract

Sentiment analysis has become a popular method for understanding people's opinions and responses to an event or event. In the context of the 2023 SEA Games, understanding the public's perception of the event in order to gain an understanding of how much positive, negative or neutral the response is can be the basis for organizing the event and improving the quality of the event in the future. One platform that is widely used to make comments about this event is Twitter. Therefore, this research aims to analyze Twitter sentiment regarding the 2023 SEA Games using the LSTM (Long Short-Term Memory) method. The data obtained came from Twitter, totaling 1445 tweets. Next, the data is divided into 2 parts, namely, 80% training data and 20% test data. After carrying out a manual search for hyperparameters randomly for 10 trials on each hyperparameter, the best results were obtained for the LSTM model with a dropout configuration of 0.3, hidden units 512, recurrent dropout on the LSTM layer 0.2, epochs 20, and batch size 32. Classification uses this configuration The accuracy value was 98%, precision 66%, recall 66%, and f-measure 66%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Analisis Sentimen, Sea games
Subjects:	Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150-4380 Computer network resources
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Hania Salsabila
Date Deposited:	20 Jan 2024 02:38
Last Modified:	20 Jan 2024 02:38
URI:	http://repository.unsri.ac.id/id/eprint/139034

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