Computer Science
5 years ago

Twitter data analysis revolutionizes Surabaya Government services with LDA algorithm.

AIP conference proceedings
Topic modeling Twitter data using Latent Dirichlet Allocation and Latent Semantic Analysis
Siti Qomariyah, Nur Iriawan, Kartika Fithriasari

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Twitter data analysis revolutionizes Surabaya Government services with LDA algorithm.

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The article discusses how Twitter data can be analyzed to understand the topics being discussed. The researchers used two methods, Latent Dirichlet Allocation (LDA) and Latent Semantic Analysis (LSA), to identify key themes in the data. They found that LDA performed better than LSA in capturing the relationships between different topics. This research helps improve the way Surabaya Government services are delivered by extracting important information from Twitter conversations.