Keyword and multi-word terms extraction from a textual corpus of news about climate change

Authors

DOI:

https://doi.org/10.31637/epsir-2024-1133

Keywords:

text corpus, news, climate change, extraction, keywords, multi-word terms

Abstract

Introduction: In this paper we present the elaboration of a textual corpus on climate change and the extraction of keywords and multi-word terms to analyze it. Methodology: We used Sketch Engine both for the elaboration of the text corpus and for its extraction. We have compiled the texts from the web and, subsequently, we have downloaded the lists of keywords. Results and analysis: The resulting data demonstrate that, in addition to the most frequent words used when talking about climate change (like “calentamiento” and “calor”), a large part of the keywords are names of people who, from politics, science or activism, have dealt with this issue in one way or another. Therefore, it depends on the social moment in which the texts are published. On the other hand, multi-word terms do not contain proper names, they are made up of lexical elements. Conclusions: We have approached the very topical and cross-curricular issue of climate change based on the work carried out. We intend to use this corpus in future studies.

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Author Biography

Vanesa Álvarez Torres, University of Cádiz

Vanesa Álvarez Torres has a degree in Linguistics, Teacher in the specialty of Foreign Language and PhD in Linguistics from the University of Cadiz, with Extraordinary Doctorate Award. She has been technical support staff of the State Program for the Promotion of Talent and its Employability in R+D+i of the MINECO at the University Institute for Research in Applied Linguistics of the University of Cadiz (ILA). Currently, she is an Assistant Professor in the area of General Linguistics (Department of Philology) at the University of Cadiz and a member of the research group “Semaínein” and the University Institute for Research in Applied Linguistics.

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Published

2024-10-29

How to Cite

Álvarez Torres, V. (2024). Keyword and multi-word terms extraction from a textual corpus of news about climate change. European Public & Social Innovation Review, 9, 1–17. https://doi.org/10.31637/epsir-2024-1133

Issue

Vol. 9 (2024)

Section

INNOVATING IN CUTTING-EDGE TECHNOLOGIES

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Copyright (c) 2024 Vanesa Álvarez Torres

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