LDA filter: A Latent Dirichlet Allocation preprocess method for Weka.
PLoS ONE, 2020 This work presents an alternative method to represent documents based on LDA (Latent Dirichlet Allocation) and how it affects to classification algorithms, in comparison to common text representation.
P Celard +3 more
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Estimating News Coverage Patterns using Latent Dirichlet Allocation (LDA)
Sukkur IBA Journal of Emerging Technologies, 2018 The growing rate of unstructured textual data has made an open challenge for the knowledge discovery, which aims extracting desired information from large collection of data.
Naeem Ahmed Mahoto
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n-stage Latent Dirichlet Allocation: A Novel Approach for LDA
CoRR, 2021 Published in: 2019 4th International Conference on Computer Science and Engineering (UBMK). This study is extension version of "Comparison of Topic Modeling Methods for Type Detection of Turkish News" http://dx.doi.org/10.1109/UBMK.2019.8907050 .
Zekeriya Anil Guven +2 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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A Text Classification Algorithm Based on Neural Network and LDA [PDF]
Jisuanji gongcheng, 2019 The traditional Latent Dirichlet Allocation(LDA) topic model uses Gibbs Sampling to fit unknown parameters under known conditional distributions in text classification calculations,making it difficult to weigh classification accuracy and computation ...
NIU Shuoshuo, CHAI Xiaoli, LI Deqi, XIE Bin
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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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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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A derivation of variational message passing (VMP) for latent Dirichlet allocation (LDA)
, 2021 24 pages,not yet submitted ...
Taylor, Rebecca M. C. +2 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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