Results 11 to 20 of about 52,865,053 (238)
Topic-driven Clustering for Document Datasets [PDF]
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005 In this paper, we define the problem of topic-driven clustering, which organizes a document collection according to a given set of topics (either from domain experts, or as a requirement satisfying users' needs). We propose three topic-driven schemes that consider the similarity between the document to its topic and the relationship among the documents
Ying Zhao 0008, George Karypis
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A social and news media benchmark dataset for topic modeling
Data in Brief, 2022 Topic modeling is an active research area with several unanswered questions. The focus of recent research in this area is on the use of a vector embedding representation of the input text with both generative and evolutionary topic modeling techniques ...
Samuel Miles +4 more
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Introduction: Is it a One Big Habitus? [PDF]
, 2022 This chapter presents an introductory study of the book. The chapter offers a brief introduction to the existing literature on women and leadership in public relations, the rationale for the book and then an ‘empirical’ reading of chapters.
Topic, M
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Analysis and tuning of hierarchical topic models based on Renyi entropy approach [PDF]
PeerJ Computer Science, 2021 Hierarchical topic modeling is a potentially powerful instrument for determining topical structures of text collections that additionally allows constructing a hierarchy representing the levels of topic abstractness.
Sergei Koltcov +3 more
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Resource Discovery For Teaching Datasets [PDF]
, 2010 The use of relevant and appropriate datasets is recognised as an important prerequisite in teaching statistics to non-statisticians. Such examples help to provide motivation for the student and can aid both understanding and performance. While impressive
Lancaster, Gillian +2 more
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Operational Challenges in the Use of Structured Secondary Data for Health Research
Frontiers in Public Health, 2021 Background: In Brazil, secondary data for epidemiology are largely available. However, they are insufficiently prepared for use in research, even when it comes to structured data since they were often designed for other purposes.
Kelsy N. Areco +15 more
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대한영상의학회지, 2021 Purpose To construct a standard dataset of contrast-enhanced CT images of liver tumors to test the performance and safety of artificial intelligence (AI)-based algorithms for clinical decision support systems (CDSSs). Materials and Methods A consensus
Seung-seob Kim +6 more
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IEEE Access, 2023 Hot topic trends have become increasingly important in the era of social media, as these trends can spread rapidly through online platforms and significantly impact public discourse and behavior.
Zohaib Ahmad Khan +6 more
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Topic2features: a novel framework to classify noisy and sparse textual data using LDA topic distributions [PDF]
PeerJ Computer Science, 2021 In supervised machine learning, specifically in classification tasks, selecting and analyzing the feature vector to achieve better results is one of the most important tasks.
Junaid Abdul Wahid +6 more
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An Adaptive LDA Optimal Topic Number Selection Method in News Topic Identification
IEEE Access, 2023 Nowadays, news text information is exploding, and people need more and more heterogeneous news content. Therefore, news text topic identification is needed to help viewers quickly and accurately screen and filter news related to their interests to save ...
Mingming Zheng +3 more
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