May 18, 2022 · Based on the BTM topic model, BCTM introduces word feature information through word vector technology and concept information based on ...
Jul 30, 2023 · This paper proposes a topic model BCTM (Bi-Concept Topic Model) using the word feature information and concept information.
Bctm:A Topic Modeling Method Based on External Information
www.researchgate.net › publication › 36...
Information divergence that measures the difference between two nonnegative matrices or tensors has found its use in a variety of machine learning problems.
This paper proposes a topic model BCTM (Bi-Concept Topic Model) using the word feature information and concept information. Based on the BTM topic model, BCTM ...
BCTM: A Topic Modeling Method Based on External Information. https://doi.org ... method of extracting malware features based on probabilistic topic model.
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What is topic modeling in natural language processing?
In this article, we present a topic model called MetaLDA, which is able to leverage either document or word meta-information, or both of them jointly, in the ...
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Topic modelling is used to extract prevalent topics, which are then used to classify individual sentences against these topics. A state-of-the-art word ...
This paper presents a novel approach towards extending the output of traditional topic modelling methods beyond a list of isolated tokens.
May 25, 2024 · A topic modeling method has been shown to be an outstanding aid in the linguistic interpretation of quite tiny texts.
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Comparison of Methods for Estimating Temporal Topic Models From ...
pmc.ncbi.nlm.nih.gov › PMC9808604
Topic models are a class of unsupervised machine learning algorithms for discovering latent thematic patterns in these large unstructured document collections.
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