OASIcs.SLATE.2020.3.pdf
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Detection of Emerging Words in Portuguese Tweets
Authors
Helena Moniz 
,
Fernando Batista
-
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Volume:
9th Symposium on Languages, Applications and Technologies (SLATE 2020)
Series: Open Access Series in Informatics (OASIcs)
Conference: Symposium on Languages, Applications and Technologies (SLATE) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2020-09-16
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Author Details
- CLUL/FLUL, Universidade de Lisboa, Portugal
- INESC-ID, Lisboa, Portugal
- UNBABEL, Lisboa, Portugal
Cite AsGet BibTex
Afonso Pinto, Helena Moniz, and Fernando Batista. Detection of Emerging Words in Portuguese Tweets. In 9th Symposium on Languages, Applications and Technologies (SLATE 2020). Open Access Series in Informatics (OASIcs), Volume 83, pp. 3:1-3:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)
https://doi.org/10.4230/OASIcs.SLATE.2020.3
https://doi.org/10.4230/OASIcs.SLATE.2020.3
Abstract
This paper tackles the problem of detecting emerging words on a language, based on social networks content. It proposes an approach for detecting new words on Twitter, and reports the achieved results for a collection of 8 million Portuguese tweets. This study uses geolocated tweets, collected between January 2018 and June 2019, and written in the Portuguese territory. The first six months of the data were used to define an initial vocabulary on known words, and the following 12 months were used for identifying new words, thus testing our approach. The set of resulting words were manually analyzed, revealing a number of distinct events, and suggesting that Twitter may be a valuable resource for researching neology, and the dynamics of a language.
Subject Classification
ACM Subject Classification
- Computing methodologies → Natural language processing
Keywords
- Emerging words
- Portuguese language
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