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Image of ANALISIS SENTIMEN TRENDING TOPIK DI MEDIA SOSIAL TWITTER MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER

Skripsi

ANALISIS SENTIMEN TRENDING TOPIK DI MEDIA SOSIAL TWITTER MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER

Muhaimin, Ibnu Alana - Personal Name;

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Penilaian anda saat ini :  

Twitter is a social media platform that contains information such as current news, personal biographies, and tweets from its users. Twitter has a feature called trending topics, which functions to identify specific popular topics. However, it is often difficult to understand the sentiment associated with these trending topics. Therefore, it is important to classify the sentiment of trending topics with the aim of understanding how people respond to and perceive popular topics on Twitter. The method used for sentiment analysis in this study is the naive Bayes classifier, and data validation is performed using k-fold cross-validation with fold values of 2,3,4,5,6,7,8,9 anda 10 to obtain the best accuracy model. The testing conducted using the RapidMiner application revealed that the best accuracy was achieved with the model at fold = 7, with an accuracy value of 65.55%, precision value of 59.71%, and recall value of 36.53%.


Availability
Inventory Code Barcode Call Number Location Status
2307005159T121986T1219862023Central Library (REFERENS)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1219862023
Publisher
Indralaya : Prodi Sistem Informasi, Fakultas Ilmu Komputer, Universitas Sriwijaya., 2023
Collation
xv, 66 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
006.754 07
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Prodi Sistem Informasi
Situs Jejaring Sosial, Sosial Media
Specific Detail Info
-
Statement of Responsibility
ANUG
Other version/related

No other version available

File Attachment
  • ANALISIS SENTIMEN TRENDING TOPIK DI MEDIA SOSIAL TWITTER MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER
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