Results 41 to 50 of about 73,362 (205)
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
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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
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Topic Models with Topic Ordering Regularities for Topic Segmentation [PDF]
2014 IEEE International Conference on Data Mining, 2014 Documents from the same domain usually discuss similar topics in a similar order. In this paper we present new ordering-based topic models that use generalised Mallows models to capture this regularity to constrain topic assignments. Specifically, these new models assume that there is a canonical topic ordering shared amongst documents from the same ...
Lan Du, John K. Pate, Mark Johnson
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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
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Mapping Russian International Relations: A Topic Modelling Approach
Международная аналитикаThis study examines the landscape of Russian International Relations (IR) scholarship, offering a quantitative analysis of thematic trends in Russian IR publications using data from the OpenAlex bibliographic database.
I. Khludov, V. Vinogradov, N. Neklyudov
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Information, 2019 Social networks like Twitter are increasingly important in the creation of new ways of communication. They have also become useful tools for social and linguistic research due to the massive amounts of public textual data available.
Joseba Fernandez de Landa +2 more
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Leveraging State-of-the-Art Topic Modeling for News Impact Analysis on Financial Markets: A Comparative Study [PDF]
, 2023 Weisi Chen +3 more
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Jurnal SisfokomBiomedical research has become an essential entity in human life. However, finding trends related to research topics in the health sector contained in the repository is a challenging matter.
Yuri Pamungkas
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Multilingual Dynamic Topic Model
Proceedings - Natural Language Processing in a Deep Learning World, 2019 Dynamic topic models (DTMs) capture the evolution of topics and trends in time series data. Current DTMs are applicable only to monolingual datasets. In this paper we present the multilingual dynamic topic model (ML-DTM), a novel topic model that combines DTM with an existing multilingual topic modeling method to capture crosslingual topics that evolve
Zosa, Elaine, Granroth-Wilding, Mark
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CTM - A Model for Large-Scale Multi-View Tweet Topic Classification [PDF]
, 2022 Vivek Kulkarni +2 more
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