Using Conceptual Recurrence and Consistency Metrics for Topic Segmentation in Debate

Using Conceptual Recurrence and Consistency Metrics for Topic Segmentation in Debate

We propose a topic segmentation model, <i>CSseg</i> (Conceptual Similarity-segmenter), for debates based on conceptual recurrence and debate consistency metrics. We research whether the conceptual similarity of conceptual recurrence and debate consistency metrics relate to topic segmenta...

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Bibliographic Details
Main Authors: Jaejong Ho, Hyoji Ha, Seok-Won Lee, Kyungwon Lee
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Applied Sciences
Subjects:
topic segmentation
debate
visual analytics
conceptual recurrence plot
natural language processing
text mining
Online Access:https://www.mdpi.com/2076-3417/12/6/2952

Internet

https://www.mdpi.com/2076-3417/12/6/2952

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