Entity-based Opinion Mining from Spanish Tweets

Fabián Paniagua-Reyes, José A. Reyes-Ortiz, Maricela Bravo

2017

Abstract

Networking service has grown in the last years and therefore, users generate large amounts of data about entities, where they can express opinions about them. This paper presents an approach for opinion mining based on entities, which belong to banks, musicians and automobiles. Our approach uses machine learning techniques in order to classify Spanish tweets into three categories positives, negatives and neutral. A Support Vector Machine (SVM) and the bag of word model is used to obtain the corresponding class given a tweet. Our experimentation shows promising results and they validate that entity-based opinion mining is achievable.

Paper Citation

in Harvard Style

Paniagua-Reyes F., Reyes-Ortiz J. and Bravo M. (2017). Entity-based Opinion Mining from Spanish Tweets . In - KDCloudApps, ISBN , pages 0-0. DOI: 10.5220/0006484904000407

in Bibtex Style

@conference{kdcloudapps17,
author={Fabián Paniagua-Reyes and José A. Reyes-Ortiz and Maricela Bravo},
title={Entity-based Opinion Mining from Spanish Tweets},
booktitle={ - KDCloudApps,},
year={2017},
pages={},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006484904000407},
isbn={},
}

in EndNote Style

TY - CONF
JO - - KDCloudApps,
TI - Entity-based Opinion Mining from Spanish Tweets
SN -
AU - Paniagua-Reyes F.
AU - Reyes-Ortiz J.
AU - Bravo M.
PY - 2017
SP - 0
EP - 0
DO - 10.5220/0006484904000407