Skripsi

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

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Penilaian

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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%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407001477	T139034	T1390342024	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1390342024

Publisher

Inderalaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer., 2024

Collation

xvi, 78 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.120 7

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Sistem Analisa Dan Desain Perangkat Lunak
Prodi Teknik Informatika

Specific Detail Info

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Statement of Responsibility

SEPTA

Other version/related

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