A Local Explainability Technique for Graph Neural Topic Models

Abstract Topic modelling is a Natural Language Processing (NLP) technique that has gained popularity in the recent past. It identifies word co-occurrence patterns inside a document corpus to reveal hidden topics. Graph Neural Topic Model (GNTM) is a topic modelling technique that uses Graph Neural N...

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Bibliographic Details

Published in:	Human-Centric Intelligent Systems
Main Authors:	Bharathwajan Rajendran, Chandran G. Vidya, J. Sanil, S. Asharaf
Format:	Article
Language:	English
Published:	Springer Nature 2024-01-01
Subjects:	Explainable neural network Graph neural topic model Local explainable Natural language processing Topic modelling
Online Access:	https://doi.org/10.1007/s44230-023-00058-8