Results 61 to 70 of about 3,030,763 (202)
Pattern-based topic modelling and its application for information filtering and information retrieval [PDF]
, 2015 This thesis targets on a challenging issue that is to enhance users' experience over massive and overloaded web information. The novel pattern-based topic model proposed in this thesis can generate high-quality multi-topic user interest models ...
Gao, Yang
core
Semantic Knowledge Discovery for User Profiling for Location-Based Recommender Systems
Human-Centric Intelligent Systems, 2021 This paper introduces a purposed Location-based Recommender System (LBRS) that combines sentiment analysis and topic modelling techniques to improve user profiling for enhancing recommendations of Points of Interest (POIs).
Xiaohui Tao +3 more
doaj +1 more source
HTMOT : Hierarchical Topic Modelling Over Time [PDF]
, 2023 Over the years, topic models have provided an efficient way of extracting insights from text. However, while many models have been proposed, none are able to model topic temporality and hierarchy jointly.
Poumay, Judicael, Ittoo, Ashwin
core
Topic Balancing with Additive Regularization of Topic Models [PDF]
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020 This article proposes a new approach for building topic models on unbalanced collections in topic modelling, based on the existing methods and our experiments with such methods. Real-world data collections contain topics in various proportions, and often documents of the relatively small theme become distributed all over the larger topics instead of ...
Eugenia Veselova +1 more
openaire +2 more sources
Frontiers in Psychology, 2023 Which population factors have predisposed people to disregard government safety guidelines during the COVID-19 pandemic and what justifications do they give for this non-compliance?
Maria Bălăeț +12 more
doaj +1 more source
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)Topic models allow researchers to extract latent factors from text data and use those variables in downstream statistical analyses. However, these methodologies can vary significantly due to initialization differences, randomness in sampling procedures, or noisy data.
Kayla Schroeder, Zach Wood-Doughty
openaire +4 more sources
CoRR, 2016 We develop a privatised stochastic variational inference method for Latent Dirichlet Allocation (LDA). The iterative nature of stochastic variational inference presents challenges: multiple iterations are required to obtain accurate posterior distributions, yet each iteration increases the amount of noise that must be added to achieve a reasonable ...
Park, M. +3 more
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East European Journal of Psycholinguistics, 2022 This paper focuses on the content and emotive features of four politicians' posts that were published on their official Twitter accounts during the three-month period of the russian invasion of Ukraine. We selected two British politicians – Boris Johnson,
Olena Karpina, Justin Chen
doaj +1 more source
Modeling the evolution of development topics using Dynamic Topic Models [PDF]
2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2015 As the development of a software project progresses, its complexity grows accordingly, making it difficult to understand and maintain. During software maintenance and evolution, software developers and stakeholders constantly shift their focus between different tasks and topics.
Jiajun Hu +3 more
openaire +3 more sources
CAST:Corpus-Aware Self-similarity Enhanced Topic modelling
Topic modelling is a pivotal unsupervised machine learning technique for extracting valuable insights from large document collections. Existing neural topic modelling methods often encode contextual information of documents, while ignoring contextual ...
Xiao, Chenghao +6 more
core +5 more sources