Arabic Sentiment Analysis using WEKA a Hybrid Learning Approach

Sarah Alhumoud, Tarfa Albuhairi, Mawaheb Altuwaijri

2015

Abstract

Data has become the currency of this era and it is continuing to massively increase in size and generation rate. Large data generated out of organisations’ e-transactions or individuals through social networks could be of a great value when analysed properly. This research presents an implementation of a sentiment analyser for Twitter’s tweets which is one of the biggest public and freely available big data sources. It analyses Arabic, Saudi dialect tweets to extract sentiments toward a specific topic. It used a dataset consisting of 3000 tweets collected from Twitter. The collected tweets were analysed using two machine learning approaches, supervised which is trained with the dataset collected and the proposed hybrid learning which is trained on a single words dictionary. Two algorithms are used, Support Vector Machine (SVM) and K-Nearest Neighbors (KNN). The obtained results by the cross validation on the same dataset clearly confirm the superiority of the hybrid learning approach over the supervised approach.

Paper Citation

in Harvard Style

Alhumoud S., Albuhairi T. and Altuwaijri M. (2015). Arabic Sentiment Analysis using WEKA a Hybrid Learning Approach . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015) ISBN 978-989-758-158-8, pages 402-408. DOI: 10.5220/0005616004020408

in Bibtex Style

@conference{kdir15,
author={Sarah Alhumoud and Tarfa Albuhairi and Mawaheb Altuwaijri},
title={Arabic Sentiment Analysis using WEKA a Hybrid Learning Approach},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)},
year={2015},
pages={402-408},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005616004020408},
isbn={978-989-758-158-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)
TI - Arabic Sentiment Analysis using WEKA a Hybrid Learning Approach
SN - 978-989-758-158-8
AU - Alhumoud S.
AU - Albuhairi T.
AU - Altuwaijri M.
PY - 2015
SP - 402
EP - 408
DO - 10.5220/0005616004020408