Media Framing Dynamics of the ‘European Refugee Crisis’: A Comparative Topic Modelling Approach
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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… read more here.
Keywords: european refugee; topic modelling; refugee crisis; media framing ... See more keywords
Capturing the experiences of UK healthcare workers during the COVID-19 pandemic: A structural topic modelling analysis of 7,412 free-text survey responses
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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… read more here.
Keywords: topic modelling; free text; survey; covid pandemic ... See more keywords
Identifying hidden semantic structures in Instagram data: a topic modelling comparison
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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… read more here.
Keywords: semantic structures; instagram data; topic modelling; hidden semantic ... See more keywords
DATM: A Novel Data Agnostic Topic Modeling Technique With Improved Effectiveness for Both Short and Long Text
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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… read more here.
Keywords: data agnostic; datm novel; agnostic topic; topic ... See more keywords
Two-stage topic modelling of scientific publications: A case study of University of Nairobi, Kenya
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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… read more here.
Keywords: two stage; topic modelling; university nairobi; stage topic ... See more keywords
Using topic modelling for unsupervised annotation of electronic health records to identify an outbreak of disease in UK dogs
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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… read more here.
Keywords: electronic health; health records; topic; disease ... See more keywords
Artificial intelligence for topic modelling in Hindu philosophy: Mapping themes between the Upanishads and the Bhagavad Gita
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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… read more here.
Keywords: philosophy; upanishads bhagavad; topic modelling; bhagavad gita ... See more keywords
Possibilistic Fuzzy C-means Topic Modelling for Twitter Sentiment Analysis
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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… read more here.
Keywords: topic modelling; sentiment; twitter sentiment; possibilistic fuzzy ... See more keywords
Topic Modelling and Sentiment Analysis of Tweets Related to Freedom Convoy 2022 in Canada
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DOI: 10.3389/ijph.2022.1605241
Abstract: Objectives: This study aimed to investigate public discourses and sentiments regarding the Freedom Convoy in Canada on Twitter. Methods: English tweets were retrieved from Twitter API from 15 January to 14 February 2022 when the… read more here.
Keywords: topic; topic modelling; freedom convoy; modelling sentiment ... See more keywords