A lexicon based method to search for extreme opinions

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2017_plosone_almatarneh_lexicon_based.pdf (1.73 MB)
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URI: http://hdl.handle.net/10347/16791
E-ISSN: 1932-6203
DOI: 10.1371/journal.pone.0197816

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2018-05-25

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Abstract

Studies in sentiment analysis and opinion mining have been focused on many aspects related to opinions, namely polarity classification by making use of positive, negative or neutral values. However, most studies have overlooked the identification of extreme opinions (most negative and most positive opinions) in spite of their vast significance in many applications. We use an unsupervised approach to search for extreme opinions, which is based on the automatic construction of a new lexicon containing the most negative and most positive words

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Lexicons| Semantics| Electronics| Machine learning algorithms| Algorithms| Machine learning| Information retrieval| Social media

Bibliographic citation

Almatarneh S, Gamallo P (2018) A lexicon based method to search for extreme opinions. PLoS ONE 13(5): e0197816. https://doi.org/10.1371/journal.pone.0197816

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© 2018 Almatarneh, Gamallo. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Atribución 4.0 Internacional

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Centro de Investigación en Tecnoloxías Intelixentes da USC (CiTIUS)
Lingua e Literatura Españolas, Teoría da Literatura e Lingüística Xeral