Results 21 to 30 of about 23,460 (215)
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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LATENT DIRICHLET ALLOCATION (LDA) METHOD ANALYSIS ABOUT COVID-19 VACCINE ON TWITTER SOCIAL MEDIA
Barekeng, 2022 Twitter is one social media that often provides much information for its users, one of which is information regarding the COVID-19 vaccination. This study aimed to explore and find out what topics are often discussed on Twitter social media. One of which
Happy Alyzhya Haay, Adi Setiawan
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Science and Technology Video Text Classification Based on Improved Labeled LDA Model [PDF]
Jisuanji gongcheng, 2018 In the process of classifying video texts in the field of science and technology,it is easy to ignore the terminology with high classification contribution.Considering the problem that the traditional Labeled Latent Dirichlet Allocation (LDA) model has ...
MA Jianhong,FAN Yuexiang
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Applied Sciences, 2021 To assess critically the scientific literature is a very challenging task; in general it requires analysing a lot of documents to define the state-of-the-art of a research field and classifying them. The documents classifier systems have tried to address
Noemi Scarpato +2 more
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Latent Dirichlet Allocation (LDA) for improving the topic modeling of the official bulletin of the spanish state (BOE) [PDF]
, 2019 Since Internet was born most people can access fully free to a lot sources of information. Every day a lot of web pages are created and new content is uploaded and shared. Never in the history the humans has been more informed but also uninformed due the
Bailón-Elvira, J.C. +3 more
core +3 more sources
CINet: A Learning Based Approach to Incremental Context Modeling in Robots [PDF]
, 2018 There have been several attempts at modeling context in robots. However, either these attempts assume a fixed number of contexts or use a rule-based approach to determine when to increment the number of contexts.
Bozcan, İlker +3 more
core +2 more sources
Artificial Intelligence in Agriculture, 2020 Breakup patterns of agricultural formulations are explored using unsupervised learning techniques to elucidate the mechanics of atomization for oil-in-water formulations.
Hongfei Li +3 more
doaj +1 more source
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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A Competency Mining Method Based on Latent Dirichlet Allocation (LDA) Model
Journal of Physics: Conference Series, 2020 Abstract A text mining approach based on latent Dirichlet allocation (LDA) is proposed to analyze the competency characteristics. First, we briefly introduce the principle and hypothesis of latent Dirichlet allocation (LDA) model. Second, we elaborate the idea of using LDA topic model to extract competency, Then, we use Chinese text ...
Jiying Wu, Guandong Son, Sihui Wang
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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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