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Understanding Cybersecurity Threat Trends Through Dynamic Topic Modeling
Frontiers in Big Data, 2021 Cybersecurity threats continue to increase and are impacting almost all aspects of modern life. Being aware of how vulnerabilities and their exploits are changing gives helpful insights into combating new threats.
Jennifer Sleeman +2 more
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, 2012 We introduce the topical relevance model (TRLM) as a generalization of the standard relevance model (RLM). The TRLM alleviates the limitations of the RLM by exploiting the multi-topical structure of pseudo-relevant documents. In TRLM, intra-topical document and query term co-occurrences are favoured, whereas the inter-topical ones are down-weighted ...
Ganguly, Debasis +2 more
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Topic based document modeling for information filtering
CTU Journal of Innovation and Sustainable Development, 2023 Information Filtering (IF), which has been popularly studied in recent years, is one of the areas that applies document retrieval techniques for dealing with the huge amount of information. In IF systems, modelling user’s interest and filtering relevant
Tran Diem Hanh Nguyen
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Introducción a Topic Modeling y MALLET
The Programming Historian en Español, 2018 Esta lección explica qué es topic modeling y por qué podrías querer utilizarlo en tus investigaciones. Luego aprenderás cómo instalar y trabajar con MALLET, una caja de herramientas para procesamiento de lenguajes naturales (PLN) con la que topic ...
Shawn Graham +2 more
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Modeling Topic and Role Information in Meetings using the Hierarchical Dirichlet Process [PDF]
, 2008 In this paper, we address the modeling of topic and role information in multiparty meetings, via a nonparametric Bayesian model called the hierarchical Dirichlet process.
Renals, Steve, Huang, Songfang
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Implementation of Dynamic Topic Modeling to Discover Topic Evolution on Customer Reviews
JOIN: Jurnal Online Informatika, 2023 Annotation and analysis of online customer reviews were identified as significant problems in various domains, including business intelligence, marketing, and e-governance.
Valentinus Roby Hananto
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Hierarchical neural topic modeling with manifold regularization
, 2021 Topic models have been widely used for learning the latent explainable representation of documents, but most of the existing approaches discover topics in a flat structure.
Chen, Ziye +6 more
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Polylingual topic models [PDF]
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 2 - EMNLP '09, 2009 Topic models are a useful tool for analyzing large text collections, but have previously been applied in only monolingual, or at most bilingual, contexts. Meanwhile, massive collections of interlinked documents in dozens of languages, such as Wikipedia, are now widely available, calling for tools that can characterize content in many languages.
Mimno, David +4 more
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Evaluation of unsupervised static topic models’ emergence detection ability [PDF]
PeerJ Computer ScienceDetecting emerging topics is crucial for understanding research trends, technological advancements, and shifts in public discourse. While unsupervised topic modeling techniques such as Latent Dirichlet allocation (LDA), BERTopic, and CoWords clustering ...
Xue Li +5 more
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The Combination of Contextualized Topic Model and MPNet for User Feedback Topic Modeling
IEEE Access, 2023 In the era of big data and ubiquitous internet connectivity, user feedback data plays a crucial role in product development and improvement. However, extracting valuable insights from the vast pool of unstructured text data found in user feedback ...
Mohammad Hamid Asnawi +3 more
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