Sentiment Analysis in Brazilian Portuguese Tweets in the Domain of Calamity: Application of the Summarization Method and Semantic Similarity in Polarized Terms

Ariana Moura da Silva, Rodrigo da Matta Bastos, Ricardo Luis de Azevedo da Rocha

Abstract

This research integrates an interdisciplinary project which mobilizes the areas of Computer Engineering, Linguistics and Communication to perform the processing of texts in a natural language extracted from microblogging service Twitter as well as to conduct an analysis and classification of the sentiments mined. Many proposals have been formulated using the polarization method; however, most projects do not encompass an automatic classification by semantic proximity. This research aims to evaluate the reaction of individuals shared in the social network, not only to classify them as positive or negative, but also to ascertain the semantic similarity of these messages in the same domain. Based on the set of tweets in Portuguese extracted from a corpus of calamity, we apply three methods: a) the lexical classifier, called Summarization Method; b) the semantic classifier, called LSA - Latent Semantic Analysis; c) the ASSTPS classifier - Analysis of Semantic similarity in Polarized and Summarized terms. The results are applied to a set of 811 tweets of the calamity domain and point out which method obtained the best hit rate and semantic approximation. In this sense, the classification of sentiments by semantic proximity can help greatly, performing the sorting of content of relevant messages, discarding unnecessary information, linking messages with the same theme in common, and even generating Metrics for classifying emotions.

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Paper Citation


in Harvard Style

Silva A., Bastos R. and Rocha R. (2018). Sentiment Analysis in Brazilian Portuguese Tweets in the Domain of Calamity: Application of the Summarization Method and Semantic Similarity in Polarized Terms.In Proceedings of the 10th International Joint Conference on Computational Intelligence - Volume 1: IJCCI, ISBN 978-989-758-327-8, pages 225-231. DOI: 10.5220/0006947802250231


in Bibtex Style

@conference{ijcci18,
author={Ariana Moura da Silva and Rodrigo da Matta Bastos and Ricardo Luis de Azevedo da Rocha},
title={Sentiment Analysis in Brazilian Portuguese Tweets in the Domain of Calamity: Application of the Summarization Method and Semantic Similarity in Polarized Terms},
booktitle={Proceedings of the 10th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,},
year={2018},
pages={225-231},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006947802250231},
isbn={978-989-758-327-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,
TI - Sentiment Analysis in Brazilian Portuguese Tweets in the Domain of Calamity: Application of the Summarization Method and Semantic Similarity in Polarized Terms
SN - 978-989-758-327-8
AU - Silva A.
AU - Bastos R.
AU - Rocha R.
PY - 2018
SP - 225
EP - 231
DO - 10.5220/0006947802250231