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
doaj +4 more sources
Incorporating topical stance into signed bipartite networks for user retweet prediction. [PDF]
PLoS ONESocial networks accelerate information dissemination, and retweet behavior is an important way of user interaction. User retweet prediction analyzes user characteristics to predict retweet behavior and emotional polarity, which can help platforms ...
Lixia Li +3 more
doaj +2 more sources
Comparison of Artificial Intelligence Tools With Human Coding for Sentiment, Topic, and Thematic Analysis Tasks of Public Health Datasets During the COVID-19 Pandemic in Australia: Case Study [PDF]
Online Journal of Public Health InformaticsBackgroundPublic opinion, which may be influenced by personal experiences, news, and social media, can impact compliance with public health measures (PHMs) during health emergencies.
Danielle Hutchinson +5 more
doaj +2 more sources
Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis
Frontiers in Artificial Intelligence, 2020 With the growth of online social network platforms and applications, large amounts of textual user-generated content are created daily in the form of comments, reviews, and short-text messages.
Rania Albalawi +2 more
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SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects [PDF]
Conference of the European Chapter of the Association for Computational Linguistics, 2023 Despite the progress in building multilingual language models, evaluation is often limited to a few languages with available datasets which excludes a large number of low-resource languages.
David Ifeoluwa Adelani +7 more
semanticscholar +1 more source
Effective Neural Topic Modeling with Embedding Clustering Regularization [PDF]
International Conference on Machine Learning, 2023 Topic models have been prevalent for decades with various applications. However, existing topic models commonly suffer from the notorious topic collapsing: discovered topics semantically collapse towards each other, leading to highly repetitive topics ...
Xiaobao Wu +3 more
semanticscholar +1 more source
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
doaj +2 more sources
MasakhaNEWS: News Topic Classification for African languages [PDF]
International Joint Conference on Natural Language Processing, 2023 African languages are severely under-represented in NLP research due to lack of datasets covering several NLP tasks. While there are individual language specific datasets that are being expanded to different tasks, only a handful of NLP tasks (e.g. named
David Ifeoluwa Adelani +61 more
semanticscholar +1 more source
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
doaj +1 more source
Towards the TopMost: A Topic Modeling System Toolkit [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 Topic models have a rich history with various applications and have recently been reinvigorated by neural topic modeling. However, these numerous topic models adopt totally distinct datasets, implementations, and evaluations.
Xiaobao Wu, Fengjun Pan, A. Luu
semanticscholar +1 more source