Web content topic modeling using LDA and HTML tags [PDF]
PeerJ Computer Science, 2023 An immense volume of digital documents exists online and offline with content that can offer useful information and insights. Utilizing topic modeling enhances the analysis and understanding of digital documents.
Hamza H.M. Altarturi +2 more
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TOPIC MODELING AND ASSOCIATION RULE MINING TO DISCOVER GEOSPATIAL SEMANTIC INFORMATION FROM UNSTRUCTURED DATA SOURCES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 As the amount of semi-structured and unstructured information sources expands at an exponential rate, there is a growing demand for semantic information elicitation of the immanent knowledge included in these sources.
Ε. Katsadaki, M. Kokla
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An Explorative Research Towards the Criteria of Peer Evaluation Among University Students Using Latent Dirichlet Allocation (LDA) [PDF]
The Korean Association of General Education, 2020 Minho Kwak, Young-Jin Seo
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Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey [PDF]
Multimedia Tools and Applications, 2018 Topic modeling is one of the most powerful techniques in text mining for data mining, latent data discovery, and finding relationships among data, text documents. Researchers have published many articles in the field of topic modeling and applied in various fields such as software engineering, political science, medical and linguistic science, etc ...
Chi Yuan +6 more
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Enhancing Indonesian customer complaint analysis: LDA topic modelling with BERT embeddings
Jurnal Ilmiah SINERGI, 2023 Social media data can be mining for recommended systems to know the best trends or patterns. The customers have the freedom to ask questions about the product, tell their demands, and convey their complaints through social media.
Mutiara Auliya Khadija +1 more
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Detection of Reference Topics and Suggestions using Latent Dirichlet Allocation (LDA) [PDF]
2019 12th International Conference on Information & Communication Technology and System (ICTS), 2019 Pelatihan Aplikasi Teknologi Informasi (PATI) is an activity of training required for new students in Universitas Muhammadiyah Malang (UMM) to provide knowledge and training on UMM or information technology concerned about general technology. At the end of the training, the students give the conclusions and suggestions to PATI.
Basuki, Setio +5 more
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Analysis of the Trends in Biochemical Research Using Latent Dirichlet Allocation (LDA) [PDF]
Processes, 2019 Biochemistry has been broadly defined as “chemistry of molecules included or related to living systems”, but is becoming increasingly hard to be distinguished from other related fields. Targets of its studies evolve rapidly; some newly emerge, disappear, combine, or resurface themselves with a fresh viewpoint.
Hee Jay Kang +2 more
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Energies, 2023 This paper presents a comprehensive analysis of public procurement documents in the domain of university buildings taken from the e-procurement platform, particularly focusing on their transformation towards more efficient energy consumption.
Anna Pamula +3 more
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Unsupervised segmentation of greenhouse plant images based on modified Latent Dirichlet Allocation [PDF]
PeerJ, 2018 Agricultural greenhouse plant images with complicated scenes are difficult to precisely manually label. The appearance of leaf disease spots and mosses increases the difficulty in plant segmentation.
Yi Wang, Lihong Xu
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Unsupervised Machine Learning to Identify Depressive Subtypes [PDF]
Healthcare Informatics Research, 2022 Objectives This study evaluated an unsupervised machine learning method, latent Dirichlet allocation (LDA), as a method for identifying subtypes of depression within symptom data. Methods Data from 18,314 depressed patients were used to create LDA models.
Benson Kung +4 more
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