Results 51 to 60 of about 34,920 (220)
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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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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Item Recommendation with Evolving User Preferences and Experience
, 2017 Current recommender systems exploit user and item similarities by collaborative filtering. Some advanced methods also consider the temporal evolution of item ratings as a global background process.
Lamba, Hemank +2 more
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Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives
Business Strategy and the Environment, EarlyView.ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh +3 more
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JMIR Medical Informatics, 2022 BackgroundHealth care organizations are collecting increasing volumes of clinical text data. Topic models are a class of unsupervised machine learning algorithms for discovering latent thematic patterns in these large unstructured
Christopher Meaney +4 more
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Inference in Supervised latent Dirichlet allocation [PDF]
2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011 Supervised latent Dirichlet allocation (Supervised-LDA) [1] is a probabilistic topic model that can be used for classification. One of the advantages of Supervised-LDA over unsupervised LDA is that it can potentially learn topics that are inline with the class label.
Balaji Lakshminarayanan, Raviv Raich
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Business Strategy and the Environment, EarlyView.ABSTRACT Sustainability reports (SRs) are widely criticized for vague disclosures and selective emphasis on positive outcomes, yet systematic research on two core SR challenges remains limited: materiality (whether disclosed content is relevant) and balance (whether both achievements and challenges are reported).
Mahsa Mohammadrezaei +1 more
wiley +1 more source
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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A correlated topic model of Science
, 2007 Topic models, such as latent Dirichlet allocation (LDA), can be useful tools for the statistical analysis of document collections and other discrete data. The LDA model assumes that the words of each document arise from a mixture of topics, each of which
Blei, David M., Lafferty, John D.
core +2 more sources