An Innovative Graph-Based Approach to Advance Feature Selection from Multiple Textual Documents - Artificial Intelligence Applications and Innovations Access content directly
Book Sections Year : 2020

An Innovative Graph-Based Approach to Advance Feature Selection from Multiple Textual Documents

Nikolaos Giarelis
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Nikos Kanakaris
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Nikos Karacapilidis
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Abstract

This paper introduces a novel graph-based approach to select features from multiple textual documents. The proposed solution enables the investigation of the importance of a term into a whole corpus of documents by utilizing contemporary graph theory methods, such as community detection algorithms and node centrality measures. Compared to well-tried existing solutions, evaluation results show that the proposed approach increases the accuracy of most text classifiers employed and decreases the number of features required to achieve ‘state-of-the-art’ accuracy. Well-known datasets used for the experimentations reported in this paper include 20Newsgroups, LingSpam, Amazon Reviews and Reuters.
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hal-04050583 , version 1 (29-03-2023)

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Nikolaos Giarelis, Nikos Kanakaris, Nikos Karacapilidis. An Innovative Graph-Based Approach to Advance Feature Selection from Multiple Textual Documents. Ilias Maglogiannis; Lazaros Iliadis; Elias Pimenidis. Artificial Intelligence Applications and Innovations : 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part I, AICT-583 (Part I), Springer International Publishing, pp.96-106, 2020, IFIP Advances in Information and Communication Technology, 978-3-030-49160-4. ⟨10.1007/978-3-030-49161-1_9⟩. ⟨hal-04050583⟩
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