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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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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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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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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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Entropy, 2021 This study constructs a comprehensive index to effectively judge the optimal number of topics in the LDA topic model. Based on the requirements for selecting the number of topics, a comprehensive judgment index of perplexity, isolation, stability, and ...
Jingxian Gan, Yong Qi
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Retrieval Topic Recurrent Memory Network for Remote Sensing Image Captioning
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Remote sensing image (RSI) captioning aims to generate sentences to describe the content of RSIs. Generally, five sentences are used to describe the RSI in caption datasets.
Binqiang Wang +3 more
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Video Captioning with Guidance of Multimodal Latent Topics
, 2023 The topic diversity of open-domain videos leads to various vocabularies and linguistic expressions in describing video contents, and therefore, makes the video captioning task even more challenging. In this paper, we propose an unified caption framework,
Chen, Jia +3 more
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