Results 11 to 20 of about 23,068 (215)
Semantic N-Gram Topic Modeling [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 In this paper a novel approach for effective topic modeling is presented. The approach is different fromtraditional vector space model-based topic modeling, where the Bag of Words (BOW) approach is followed.The novelty of our approach is that in phrase ...
Pooja Kherwa, Poonam Bansal
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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 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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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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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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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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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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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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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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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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