Results 31 to 40 of about 1,022,373 (272)
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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Modeling the evolution of development topics using Dynamic Topic Models [PDF]
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.
HU, Jianjun+3 more
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A Topic Modelling Analysis of Living Labs Research
This study applies topic modelling analysis on a corpus of 86 publications in the Technology Innovation Management Review (TIM Review) to understand how the phenomenon of living labs has been approached in the recent innovation management literature ...
Mika Westerlund+2 more
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As digitalization increasingly gains attention in the agriculture sector, many African youths are seizing the opportunity provided by digital technologies to engage in agriculture.
Matthew Ayamga+3 more
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A correlated topic model of Science [PDF]
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 is a distribution over the vocabulary.
Blei, David M., Lafferty, John D.
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In this paper, we sought to model and characterize hate speech against immigrants on Twitter in Spain around the appearance of the far-right party Vox.
Carlos Arcila Calderón+2 more
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This paper presents a new topic modelling framework inspired by game theoretic principles. It is formulated as a normal form game in which words are represented as players and topics as strategies that the players select. The strategies of each player are modelled with a probability distribution guided by a utility function that the players try to ...
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Data-Assisted Persona Construction Using Social Media Data
User experience design and subsequent usability evaluation can benefit from knowledge about user interaction, types, deployment settings and situations.
Dimitris Spiliotopoulos+2 more
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Multilingual Dynamic Topic Model
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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Hierarchical Topic Presence Models [PDF]
Topic models analyze text from a set of documents. Documents are modeled as a mixture of topics, with topics defined as probability distributions on words. Inferences of interest include the most probable topics and characterization of a topic by inspecting the topic's highest probability words.
arxiv