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Bibliographic Analysis on Research Publications using Authors, Categorical Labels and the Citation Network [PDF]
, 2016 Bibliographic analysis considers the author's research areas, the citation network and the paper content among other things. In this paper, we combine these three in a topic model that produces a bibliographic model of authors, topics and documents ...
Buntine, Wray, Lim, Kar Wai
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Comparison of Topic Modelling Approaches in the Banking Context
Applied Sciences, 2023 Topic modelling is a prominent task for automatic topic extraction in many applications such as sentiment analysis and recommendation systems. The approach is vital for service industries to monitor their customer discussions.
Bayode Ogunleye +4 more
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Language Models Explain Word Reading Times Better Than Empirical Predictability
Frontiers in Artificial Intelligence, 2022 Though there is a strong consensus that word length and frequency are the most important single-word features determining visual-orthographic access to the mental lexicon, there is less agreement as how to best capture syntactic and semantic factors. The
Markus J. Hofmann +4 more
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Neurocomputing, 2023 Nonnegative matrix factorization (NMF) based topic modeling methods do not rely on model- or data-assumptions much. However, they are usually formulated as difficult optimization problems, which may suffer from bad local minima and high computational complexity.
Wang, JianYu, Zhang, Xiao-Lei
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A Survey on Opinion Mining: From Stance to Product Aspect
IEEE Access, 2019 With the prevalence of social media and online forum, opinion mining, aiming at analyzing and discovering the latent opinion in user-generated reviews on the Internet, has become a hot research topic. This survey focuses on two important subtasks in this
Rui Wang +4 more
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Vaccines, 2020 Background: The substandard vaccine case of that broke out in July 2018 in China triggered an outburst of news reports both domestically and aboard. Distilling the abundant textual information is helpful for a better understanding of the character during
Ping Zhou +3 more
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Personal Tastes vs. Fashion Trends: Predicting Ratings Based on Visual Appearances and Reviews
IEEE Access, 2018 People have their own tastes on visual appearances of products from various categories. For many of them, the tastes are affected by the current fashion trend.
Yining Liu, Yanming Shen
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A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data [PDF]
, 2015 Topic modeling based on latent Dirichlet allocation (LDA) has been a framework of choice to deal with multimodal data, such as in image annotation tasks.
Larochelle, Hugo +2 more
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Global Analysis of COVID-19 Clinical Trials to Reflect Vaccine Progression
Journal of Microbiology and Infectious Diseases, 2020 Objectives: The aim of this study was to analyze clinical trials using topic modelling to identify emerging vaccine progression topics around the globe.Methods: The most important computational problem for the modeling of topics is using the observed ...
Muthusami Rathinasamy +1 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.
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