Topic Detection Based on Sentence Embeddings and Agglomerative Clustering with Markov Moment

Topic Detection Based on Sentence Embeddings and Agglomerative Clustering with Markov Moment

The paper is dedicated to solving the problem of optimal text classification in the area of automated detection of typology of texts. In conventional approaches to topicality-based text classification (including topic modeling), the number of clusters is to be set up by the scholar, and the optimal...

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Bibliographic Details
Main Authors: Svetlana S. Bodrunova, Andrey V. Orekhov, Ivan S. Blekanov, Nikolay S. Lyudkevich, Nikita A. Tarasov
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Future Internet
Subjects:
text classification
text clustering
clustering of short texts
neural network algorithms
distributive semantics
sentence embeddings
Online Access:https://www.mdpi.com/1999-5903/12/9/144

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https://www.mdpi.com/1999-5903/12/9/144

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