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Published in 2024 at "Communication Methods and Measures"
DOI: 10.1080/19312458.2024.2302120
Abstract: ABSTRACT Topic Modelling has established itself as one of the major text-as-data methodologies within the social sciences in general, and in communications science, in particular. The core strength of TM approaches is the fact that…
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Keywords:
effect named;
interpretability;
topic modelling;
named entities ... See more keywords
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Published in 2025 at "Archives and Records"
DOI: 10.1080/23257962.2025.2522056
Abstract: ABSTRACT This study investigates the development of China’s archival policies and regulations from 1949 to 2023, tracing the evolution of key topics. By employing Latent Dirichlet Allocation (LDA) topic modelling, a comprehensive analysis was performed…
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Keywords:
archival policies;
policies regulations;
evolution;
topic modelling ... See more keywords
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Published in 2019 at "Journal of Refugee Studies"
DOI: 10.1093/jrs/fez025
Abstract: The complexity and duration of the so-called ‘European refugee crisis’ created a climate of uncertainty, which left ample room for mass media to shape citizens’ understanding of what the arrival of these refugees meant for…
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Keywords:
european refugee;
topic modelling;
refugee crisis;
media framing ... See more keywords
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Published in 2022 at "PLoS ONE"
DOI: 10.1101/2022.06.16.22276487
Abstract: Background Healthcare workers (HCWs) have provided vital services during the COVID-19 pandemic, but existing research consists of quantitative surveys (lacking in depth or context) or qualitative interviews (with limited generalisability). Structural Topic Modelling (STM) of…
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Keywords:
topic modelling;
free text;
survey;
covid pandemic ... See more keywords
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Published in 2021 at "Tourism Review"
DOI: 10.1108/tr-05-2021-0244
Abstract: Purpose Intrigued by the methodological challenges emerging from text complexity, the purpose of this study is to evaluate the effectiveness of different topic modelling algorithms based on Instagram textual data. Design/methodology/approach By taking Instagram posts…
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Keywords:
semantic structures;
instagram data;
topic modelling;
hidden semantic ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3262653
Abstract: Topic modelling is important for tackling several data mining tasks in information retrieval. While seminal topic modelling techniques such as Latent Dirichlet Allocation (LDA) have been proposed, the ubiquity of social media and the brevity…
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Keywords:
data agnostic;
datm novel;
agnostic topic;
topic ... See more keywords
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Published in 2025 at "European Journal of Education"
DOI: 10.1111/ejed.12913
Abstract: This study examines pre‐service teachers' understanding of technology integration and the role of AI tools in shaping this perspective. Open‐ended responses, analysed using topic modelling, reveal the main themes in pre‐service teachers' views and compare…
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Keywords:
service teachers;
let talk;
pre service;
topic modelling ... See more keywords
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Published in 2021 at "PLoS ONE"
DOI: 10.1371/journal.pone.0243208
Abstract: Unsupervised statistical analysis of unstructured data has gained wide acceptance especially in natural language processing and text mining domains. Topic modelling with Latent Dirichlet Allocation is one such statistical tool that has been successfully applied…
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Keywords:
two stage;
topic modelling;
university nairobi;
stage topic ... See more keywords
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Published in 2021 at "PLoS ONE"
DOI: 10.1371/journal.pone.0260402
Abstract: A key goal of disease surveillance is to identify outbreaks of known or novel diseases in a timely manner. Such an outbreak occurred in the UK associated with acute vomiting in dogs between December 2019…
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Keywords:
electronic health;
health records;
topic;
disease ... See more keywords
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Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0273476
Abstract: The Upanishads are known as one of the oldest philosophical texts in the world that form the foundation of Hindu philosophy. The Bhagavad Gita is the core text of Hindu philosophy and is known as…
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Keywords:
philosophy;
upanishads bhagavad;
topic modelling;
bhagavad gita ... See more keywords
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Published in 2018 at "International Journal of Intelligent Engineering and Systems"
DOI: 10.22266/ijies2018.0630.11
Abstract: Social media are generating an enormous amount of sentiment data in the form of companies getting their customers’ opinions on their products, political sentiment analysis and movie reviews, etc. In this scenario, twitter sentiment analysis…
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Keywords:
topic modelling;
sentiment;
twitter sentiment;
possibilistic fuzzy ... See more keywords