Results 41 to 50 of about 7,298 (159)
An Automatic Tagging System Focused on Digital Resources
Journal of Harbin University of Science and Technology, 2020 In this paper, we proposed a novel automatic tagging system which aimed at the lack of tags about digital resources and the difficulty of extending tags This tagging system can effectively extend tags for public cultural resources we collected and other ...
LEIZhiwen, HUANG Ling
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Aurora Image Classification Based on Multi-Feature Latent Dirichlet Allocation
Remote Sensing, 2018 Due to the rich physical meaning of aurora morphology, the classification of aurora images is an important task for polar scientific expeditions. However, the traditional classification methods do not make full use of the different features of aurora ...
Yanfei Zhong +4 more
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Cogent Business & Management, 2021 This study explores user-generated content (UGC) of the hotel sector in the city of Florianópolis-SC, Brazil, to identify the quality attributes of services and determine the polarity of the expressed feelings in the reviews of each attribute.
Clérito Kaveski Peres +1 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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Business intelligence using the fuzzy-Kano model
Journal of Intelligence Studies in Business, 2019 Today, understanding customer satisfaction is becoming a difficult and complex task for companies due to the explosive growth of the voice of the customer in online reviews.
Soumaya Lamrharia +2 more
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Information Extraction from Electronic Medical Records using Natural Language Processing Techniques
Journal of Applied Sciences and Environmental Management, 2020 Patients share key information about their health with medical practitioners during clinic consultations. These key information may include their past medications and allergies, current situations/issues, and expectations.
E. Ogbuju, G.N. Obunadike
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Exploring Symmetrical and Asymmetrical Dirichlet Priors for Latent Dirichlet Allocation
International Journal of Semantic Computing, 2018 Latent Dirichlet Allocation (LDA) has gained much attention from researchers and is increasingly being applied to uncover underlying semantic structures from a variety of corpora. However, nearly all researchers use symmetrical Dirichlet priors, often unaware of the underlying practical implications that they bear.
Shaheen Syed, Marco Spruit
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Particle Filter Rejuvenation and Latent Dirichlet Allocation [PDF]
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2014 Previous research has established several methods of online learning for latent Dirichlet allocation (LDA). However, streaming learning for LDA— allowing only one pass over the data and constant storage complexity—is not as well explored. We use reservoir sampling to reduce the storage complexity of a previously-studied online algorithm, namely the ...
Chandler May +2 more
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A Spatial Semantic Feature Extraction Method for Urban Functional Zones Based on POIs
ISPRS International Journal of Geo-InformationAccurately extracting semantic features of urban functional zones is crucial for understanding urban functional zone types and urban functional spatial structures.
Xin Yang, Xi’ang Ma
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Sparse Stochastic Inference for Latent Dirichlet allocation [PDF]
, 2012 We present a hybrid algorithm for Bayesian topic models that combines the efficiency of sparse Gibbs sampling with the scalability of online stochastic inference. We used our algorithm to analyze a corpus of 1.2 million books (33 billion words) with thousands of topics.
David M. Mimno +2 more
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