PosNeg opinion: Una herramienta para gestionar comentarios de la Web
One of the primary tasks of opinion mining is the classification of the polarity of the opinion, that consists in determining whether the opinion is positive or negative with respect to the entity to which it is referring. This work seeks design a general scheme consists in five stages that enable t...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | Spanish |
Published: |
Universidad de Ciencias Informáticas
2015-01-01
|
Series: | Revista Cubana de Ciencias Informáticas |
Subjects: | |
Online Access: | https://rcci.uci.cu/index.php?journal=rcci&page=article&op=view&path[]=1009&path[]=311 |
_version_ | 1818173828627431424 |
---|---|
author | Mario Amores Leticia Arco Michel Artiles |
author_facet | Mario Amores Leticia Arco Michel Artiles |
author_sort | Mario Amores |
collection | DOAJ |
description | One of the primary tasks of opinion mining is the classification of the polarity of the opinion, that consists in determining whether the opinion is positive or negative with respect to the entity to which it is referring. This work seeks design a general scheme consists in five stages that enable the polarity detection of opinions in an unsupervised manner. The five considered stages are: token identification, lexical disambiguation, get all meanings of each word, classify each token in positive or negative, and evaluate the opinion. PosNeg Opinion detects the polarity of the opinions in Spanish language. The proposed system showed good performance in classifying the polarity of 200 opinions from discussion forums Yahoo.es, yielding an accuracy of 0.965 and a precision of 0.970. |
first_indexed | 2024-12-11T19:34:43Z |
format | Article |
id | doaj.art-1d012bba4340474796f93cbdc6d9090a |
institution | Directory Open Access Journal |
issn | 1994-1536 2227-1899 |
language | Spanish |
last_indexed | 2024-12-11T19:34:43Z |
publishDate | 2015-01-01 |
publisher | Universidad de Ciencias Informáticas |
record_format | Article |
series | Revista Cubana de Ciencias Informáticas |
spelling | doaj.art-1d012bba4340474796f93cbdc6d9090a2022-12-22T00:53:10ZspaUniversidad de Ciencias InformáticasRevista Cubana de Ciencias Informáticas1994-15362227-18992015-01-01912031PosNeg opinion: Una herramienta para gestionar comentarios de la WebMario Amores0Leticia Arco1 Michel Artiles2Departamento de Ciencia de la Computación, Universidad Central "Marta Abreu" de Las Villas. Carretera a Camajuaní km 5 1/2. Santa Clara. Villa Clara. Cuba. Correo-e: {leticiaa, mae}@uclv.edu.cuDepartamento de Ciencia de la Computación, Universidad Central "Marta Abreu" de Las Villas. Carretera a Camajuaní km 5 1/2. Santa Clara. Villa Clara. Cuba. Correo-e: {leticiaa, mae}@uclv.edu.cuDepartamento de Ciencia de la Computación, Universidad Central "Marta Abreu" de Las Villas. Carretera a Camajuaní km 5 1/2. Santa Clara. Villa Clara. Cuba. Correo-e: {leticiaa, mae}@uclv.edu.cuOne of the primary tasks of opinion mining is the classification of the polarity of the opinion, that consists in determining whether the opinion is positive or negative with respect to the entity to which it is referring. This work seeks design a general scheme consists in five stages that enable the polarity detection of opinions in an unsupervised manner. The five considered stages are: token identification, lexical disambiguation, get all meanings of each word, classify each token in positive or negative, and evaluate the opinion. PosNeg Opinion detects the polarity of the opinions in Spanish language. The proposed system showed good performance in classifying the polarity of 200 opinions from discussion forums Yahoo.es, yielding an accuracy of 0.965 and a precision of 0.970.https://rcci.uci.cu/index.php?journal=rcci&page=article&op=view&path[]=1009&path[]=311opinion miningpolarity detectionsemantic Websentiment analysis. |
spellingShingle | Mario Amores Leticia Arco Michel Artiles PosNeg opinion: Una herramienta para gestionar comentarios de la Web Revista Cubana de Ciencias Informáticas opinion mining polarity detection semantic Web sentiment analysis. |
title | PosNeg opinion: Una herramienta para gestionar comentarios de la Web |
title_full | PosNeg opinion: Una herramienta para gestionar comentarios de la Web |
title_fullStr | PosNeg opinion: Una herramienta para gestionar comentarios de la Web |
title_full_unstemmed | PosNeg opinion: Una herramienta para gestionar comentarios de la Web |
title_short | PosNeg opinion: Una herramienta para gestionar comentarios de la Web |
title_sort | posneg opinion una herramienta para gestionar comentarios de la web |
topic | opinion mining polarity detection semantic Web sentiment analysis. |
url | https://rcci.uci.cu/index.php?journal=rcci&page=article&op=view&path[]=1009&path[]=311 |
work_keys_str_mv | AT marioamores posnegopinionunaherramientaparagestionarcomentariosdelaweb AT leticiaarco posnegopinionunaherramientaparagestionarcomentariosdelaweb AT michelartiles posnegopinionunaherramientaparagestionarcomentariosdelaweb |