Abstract: In this paper, we enhance and customize the existing BERTopic framework to develop and implement an automated pipeline that delivers a more coherent and diverse set of topics with an even ...

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本研究针对空间句法（Space Syntax）领域缺乏系统性量化分析的问题，采用BERTopic建模技术对1976-2024年间5221篇文献进行主题演化分析。研究发现该领域研究呈上升趋势，核心主题聚焦社会空间隔离、寻路行为及土地利用规划，同时揭示风险评估、城市气候效率等 ...

Abstract: As a rich source of direct user needs, online reviews can be effectively analyzed through topic modeling to uncover user preferences and requirements. However, the short and unstructured ...

BERTopic modeling was performed to identify topics from the posts. The effectiveness of isolating topics from the posts was evaluated using 3 metrics: topic diversity, coherence, and quality.

ABSTRACT: Modeling topics in short texts presents significant challenges due to feature sparsity, particularly when analyzing content generated by large-scale online users. This sparsity can ...

Modeling topics in short texts presents significant challenges due to feature sparsity, particularly when analyzing content generated by large-scale online users. This sparsity can substantially ...

Learning and Skill Analytics Research Group, TIB Leibniz Information Centre for Science and Technology, Hannover, Germany The problem of mental health in academia is increasingly discussed in ...

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