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Authors: Fabián Paniagua-Reyes ; José A. Reyes-Ortiz and Maricela Bravo

Affiliation: Metropolitan Autonomous University, Mexico

ISBN: 978-989-758-255-4

Keyword(s): Opinion Mining, Natural Language Processing, Social Networks.

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.

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Paper citation in several formats:
Paniagua-Reyes, F.; Reyes-Ortiz, J. and Bravo, M. (2017). Entity-based Opinion Mining from Spanish Tweets.In Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: KDCloudApps, ISBN 978-989-758-255-4, pages 400-407. DOI: 10.5220/0006484904000407

@conference{kdcloudapps17,
author={Fabián Paniagua{-}Reyes. and José A. Reyes{-}Ortiz. and Maricela Bravo.},
title={Entity-based Opinion Mining from Spanish Tweets},
booktitle={Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: KDCloudApps,},
year={2017},
pages={400-407},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006484904000407},
isbn={978-989-758-255-4},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: KDCloudApps,
TI - Entity-based Opinion Mining from Spanish Tweets
SN - 978-989-758-255-4
AU - Paniagua-Reyes, F.
AU - Reyes-Ortiz, J.
AU - Bravo, M.
PY - 2017
SP - 400
EP - 407
DO - 10.5220/0006484904000407

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