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Image of PEMODELAN TOPIK PADA TWEET BAHASA INDONESIA MENGGUNAKAN BERTOPIC

Skripsi

PEMODELAN TOPIK PADA TWEET BAHASA INDONESIA MENGGUNAKAN BERTOPIC

Diyasa, Fahmi Guntara - Personal Name;

Penilaian

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Penilaian anda saat ini :  

The increasing use of information and communication technology in recent years has had a significant impact on the trend of communicating and expressing aspirations through social media, especially the Twitter platform. Every tweet on Twitter carries information about a particular topic that can be identified through the Topic Modeling method. Topic Modeling is a tool used to uncover hidden topics in a group of documents. This research aims to perform topic modeling on Indonesian tweets using BERTopic. The Topic Modeling process using BERTopic includes steps such as document embedding, dimension reduction with UMAP, document clustering using HDBSCAN, and representing topics using c-TF-IDF. The dataset used consists of 10,000 Indonesian tweets taken from the Twitter account @detikcom. From the 10,000 tweets, 119 main topics and 1 outlier topic were found. Topic Modeling Evaluation is done using coherence score cv, with the average coherence score cv of 0.685, the highest coherence score cv of 0.995, and the lowest coherence score cv of 0.119


Availability
Inventory Code Barcode Call Number Location Status
2307004697T127188T1271882023Central Library (Reference)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1271882023
Publisher
Indralaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023
Collation
xiii, 54 hlm.; Ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
005.360 7
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Aplikasi
Jurusan Teknik Informatika
Specific Detail Info
-
Statement of Responsibility
FIRA
Other version/related

No other version available

File Attachment
  • PEMODELAN TOPIK PADA TWEET BAHASA INDONESIA MENGGUNAKAN BERTOPIC
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