A News Keyword Extraction Method Considering both Semantics and Pragmatics
Pages 437 - 444
Abstract
Based on pragmatics theory, this study aims to incorporate news users' information into keyword extraction. It integrates the popularity of news keywords among users into the TextRank model to improve the effectiveness of single-document keyword extraction. Linguistic theories are employed to explore the role of pragmatics in news keyword extraction. The popularity of candidate keywords among users is integrated into TextRank, constructing a candidate keyword graph and calculating the probability transition matrix. Through iterative calculations of candidate keyword scores, the top N words are selected to generate news keywords. It is necessary to incorporate news users' information into news keyword extraction based on pragmatics theory. The introduction of keyword popularity effectively retains the semantic and pragmatic information of news texts. Testing with datasets that evaluate semantic information, the Hot-TextRank algorithm outperforms the comparative methods in different news domains when using Top N=3 and Top N=5. With Top N=3, the average F-score improvement across various domains is 2.2%. Additionally, experimental results demonstrate that the Hot-TextRank algorithm can retain the pragmatics information of news texts and has the ability to extract appropriate keywords based on user characteristics. This paper innovatively proposes theHot-TextRank algorithm. The algorithm introduces the popularity of news keywords in users into keyword extraction, which provides technical support for news keyword extraction considering user information.
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Index Terms
- A News Keyword Extraction Method Considering both Semantics and Pragmatics
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Published In
August 2024
465 pages
ISBN:9798400716997
DOI:10.1145/3695652
Copyright © 2024 ACM.
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Association for Computing Machinery
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Publication History
Published: 15 October 2024
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- Research-article
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- Refereed limited
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- Technology project of State Grid Shaanxi Electric Power Co., Ltd
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IMMS 2024
IMMS 2024: 2024 the 7th International Conference on Information Management and Management Science
August 23 - 25, 2024
Beijing, China
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