Evaluation of potential features present in short texts in spanish in order to classify them by polarity

This work describes the identification and evaluation process of potential text markers for sentiment analysis. The evaluation of the markers and their use as part of the feature extraction process from plain text that is needed for sentiment analysis is presented. The evaluation of text markers obt...

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Main Authors: Casasola Murillo, Édgar, Leoni de León, Antonio, Marín Raventós, Gabriela
Format: Online
Language:spa
Published: Universidad de Costa Rica. Campus Rodrigo Facio. Sitio web: https://www.ucr.ac.cr/ Teléfono: (506) 2511-4000. Correo de soporte: revistas@ucr.ac.cr 2017
Online Access:https://revistas.ucr.ac.cr/index.php/kanina/article/view/30223
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spelling KANINA302232022-05-31T02:52:01Z Evaluation of potential features present in short texts in spanish in order to classify them by polarity Casasola Murillo, Édgar Leoni de León, Antonio Marín Raventós, Gabriela sentiment analysis information gain feature vectors polarity classification This work describes the identification and evaluation process of potential text markers for sentiment analysis. The evaluation of the markers and their use as part of the feature extraction process from plain text that is needed for sentiment analysis is presented. The evaluation of text markers obtained as a result of systematic analysis from a corpus over a second one allowed us to identify that emphasized positive words that tend to appear in positive text posts. The second corpus allowed us to evaluate the relation between the polarity of morphological text markers and the text they appear in. The evaluation of the markers for polarity detection task, in combination with a polarized dictionary, produced polarity classification average precision of 0.56 % using only three markers. These are promising results if we compared them to the top 0.69 % obtained using more features and specialized dictionaries for the same task.  Universidad de Costa Rica. Campus Rodrigo Facio. Sitio web: https://www.ucr.ac.cr/ Teléfono: (506) 2511-4000. Correo de soporte: revistas@ucr.ac.cr 2017-08-16 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Article Article application/pdf https://revistas.ucr.ac.cr/index.php/kanina/article/view/30223 10.15517/rk.v40i4.30223 Káñina; Vol. 40 No. 4 (2016): Káñina número extraordinario; 21-32 Káñina; Vol. 40 Núm. 4 (2016): Káñina número extraordinario; 21-32 Káñina; Vol. 40 N.º 4 (2016): Káñina número extraordinario; 21-32 2215-2636 0378-0473 spa https://revistas.ucr.ac.cr/index.php/kanina/article/view/30223/30203 Derechos de autor 2017 Káñina
institution Universidad de Costa Rica
collection Káñina
language spa
format Online
author Casasola Murillo, Édgar
Leoni de León, Antonio
Marín Raventós, Gabriela
spellingShingle Casasola Murillo, Édgar
Leoni de León, Antonio
Marín Raventós, Gabriela
Evaluation of potential features present in short texts in spanish in order to classify them by polarity
author_facet Casasola Murillo, Édgar
Leoni de León, Antonio
Marín Raventós, Gabriela
author_sort Casasola Murillo, Édgar
description This work describes the identification and evaluation process of potential text markers for sentiment analysis. The evaluation of the markers and their use as part of the feature extraction process from plain text that is needed for sentiment analysis is presented. The evaluation of text markers obtained as a result of systematic analysis from a corpus over a second one allowed us to identify that emphasized positive words that tend to appear in positive text posts. The second corpus allowed us to evaluate the relation between the polarity of morphological text markers and the text they appear in. The evaluation of the markers for polarity detection task, in combination with a polarized dictionary, produced polarity classification average precision of 0.56 % using only three markers. These are promising results if we compared them to the top 0.69 % obtained using more features and specialized dictionaries for the same task. 
title Evaluation of potential features present in short texts in spanish in order to classify them by polarity
title_short Evaluation of potential features present in short texts in spanish in order to classify them by polarity
title_full Evaluation of potential features present in short texts in spanish in order to classify them by polarity
title_fullStr Evaluation of potential features present in short texts in spanish in order to classify them by polarity
title_full_unstemmed Evaluation of potential features present in short texts in spanish in order to classify them by polarity
title_sort evaluation of potential features present in short texts in spanish in order to classify them by polarity
publisher Universidad de Costa Rica. Campus Rodrigo Facio. Sitio web: https://www.ucr.ac.cr/ Teléfono: (506) 2511-4000. Correo de soporte: revistas@ucr.ac.cr
publishDate 2017
url https://revistas.ucr.ac.cr/index.php/kanina/article/view/30223
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AT marinraventosgabriela evaluationofpotentialfeaturespresentinshorttextsinspanishinordertoclassifythembypolarity
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