Results 21 to 30 of about 64,982 (183)
Topic Modeling for Twitter Users Regarding the "Ruanggguru" Application
Jurnal Ilmu Dasar, 2020 PT Ruang Raya Indonesia ("Ruangguru") is the largest and most comprehensive technology company in Indonesia that focuses on education-based services. In 2019 there were 15 million Ruangguru users and 300.00 teachers who had joined and were present in 32 ...
Bagus Wicaksono Arianto, Gangga Anuraga
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Topic Modeling for Support Ticket using Latent Dirichlet Allocation
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 In the business world, communication over customers must be built properly to make it easier for companies to find out what customers want. Support ticket is one of the business instrument for communication between the customers and the companies ...
Wiranto Wiranto +1 more
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ANOMALY DETECTION IN ONLINE SOCIAL MEDIA THROUGH ADVANCED AI TECHNIQUES AND TOPIC MODELING [PDF]
Proceedings on Engineering SciencesThe ubiquity of online social media platforms has led to an increasing need for effective anomaly detection methods to identify irregularities and potential threats within user-generated content.
Navdeep Bohra +4 more
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Topic Modeling for Makerspace Artifact Analysis
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 As the making phenomenon becomes more prevalent, diverse, and vast, it becomes increasingly challenging to identify general temporal or spatial trends in types of making endeavors.
David Wilson +2 more
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The Latent Dirichlet Allocation (LDA) generative model for automating process of rendering judicial decisions [PDF]
E3S Web of Conferences, 2023 The Latent Dirichlet Allocation (LDA) generative model is widely used in statistical analysis and machine learning due to its ability to model the probabilities of multidimensional categorical data, such as the frequencies of different categories or the ...
Pylov Petr +2 more
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Discovering Computer Science Research Topic Trends using Latent Dirichlet Allocation
JOIN: Jurnal Online Informatika, 2021 Before conducting a research project, researchers must find the trends and state of the art in their research field. However, that is not necessarily an easy job for researchers, partly due to the lack of specific tools to filter the required information
Kartika Rizqi Nastiti +2 more
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Topic Modeling on Online News.Portal Using Latent Dirichlet Allocation (LDA)
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2022 The amount of News displayed on online news portals. Often does not indicate the topic being discussed, but the News can be read and analyzed. You can find the main issues and trends in the News being discussed.
Mohammad Rezza Fahlevvi, Azhari SN
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Earth Observation Semantic Data Mining: Latent Dirichlet Allocation-Based Approach
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Recent advances in remote sensing technology have provided (very) high spatial resolution Earth Observation data with abundant latent semantic information.
Reza Mohammadi Asiyabi, Mihai Datcu
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Text Categorization with Latent Dirichlet Allocation [PDF]
Journal of Electrical and Electronics Engineering, 2014 This paper focuses on the text categorization of Slovak text corpora using latent Dirichlet allocation. Our goal is to build text subcorpora that contain similar text documents.
ZLACKÝ Daniel +3 more
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Renormalization Analysis of Topic Models
Entropy, 2020 In practice, to build a machine learning model of big data, one needs to tune model parameters. The process of parameter tuning involves extremely time-consuming and computationally expensive grid search.
Sergei Koltcov, Vera Ignatenko
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