Oct 31, 2022 · The application of topic models results in concepts, the so-called topics, and a high-dimensional description of the documents. For ...
In this work, we propose a benchmark comprising various datasets, layout algorithms and their hyperparameters, and quality metrics for conducting an empirical ...
Feb 22, 2023 · Topic models are widely used for thematic structure discovery in text. But traditional topic models often require dedicated inference procedures ...
Figure 1: A visual comparison of three layouts for the Reuters dataset. Each point presents one document; the color represents.
Oct 21, 2022 · In this paper, we present a benchmark corpus for topic models, a dataset containing an annotated real-world collection of texts focused on the ...
A topic model is a type of statistical model for discovering the abstract topics that occur in a collection of documents.
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Mar 24, 2024 · In this work, we investigate the untapped potential of large language models (LLMs) as an alternative for uncovering the underlying topics within extensive ...
May 1, 2023 · We performed a systematic literature review of 189 articles where topic modelling was used for social media analysis to understand how and why topic models are ...
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Benchmarking topic models on scientific articles using BERTeley
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This paper introduces BERTeley, an innovative tool built upon BERTopic, designed to alleviate these shortcomings and improve the usability of BERTopic when ...
In the field of text mining, topic models are applied for tasks such as topic discovery and opinion analysis. In the domains of information retrieval and ...