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Sentiment Analysis of Arabic Tweets: Opinion Target Extraction

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Modelling and Implementation of Complex Systems (MISC 2018)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 64))

Abstract

Due to the increased volume of Arabic opinionated posts on different social media, Arabic sentiment analysis is viewed as an important research field. Identifying the target on which opinion has been expressed is the aim of this work. Opinion target extraction is a problem that was generally very little treated in Arabic text. In this paper, an opinion target extraction method from Arabic tweets is proposed. First, as a preprocessing phase, several feature forms from tweets are extracted to be examined. The aim of these forms is to evaluate their impacts on accuracy. Then, two classifiers, SVM and Naïve Bayes are trained. The experiment results show that, with 500 tweets collected and manually tagged, SVM gives the highest precision and recall (86%).

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Notes

  1. 1.

    https://tags.hawksey.info/.

  2. 2.

    http://nlp.stanford.edu/software/tagger.shtml.

  3. 3.

    http://www.cs.waikato.ac.nz/ml/weka.

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Author information

Authors and Affiliations

  1. Computer Science Department, Faculty of Sciences, University of Oran 1, Ahmed Ben Bella, PB 1524 El M’Naouer, Oran, Algeria

    Behdenna Salima, Barigou Fatiha & Belalem Ghalem

Authors
  1. Behdenna Salima
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  2. Barigou Fatiha
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  3. Belalem Ghalem
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Corresponding author

Correspondence to Behdenna Salima .

Editor information

Editors and Affiliations

  1. Faculty of New Information and Communication Technologies, University of Constantine 2, Constantine, Algeria

    Salim Chikhi

  2. Faculty of Technology, GeCoDe Laboratory, University of Saida, Saida, Algeria

    Abdelmalek Amine

  3. Faculty of New Information and Communication Technologies, University of Constantine 2, Constantine, Algeria

    Allaoua Chaoui

  4. Faculty of New Information and Communication Technologies, University of Constantine 2, Constantine, Algeria

    Djamel Eddine Saidouni

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Salima, B., Fatiha, B., Ghalem, B. (2019). Sentiment Analysis of Arabic Tweets: Opinion Target Extraction. In: Chikhi, S., Amine, A., Chaoui, A., Saidouni, D.E. (eds) Modelling and Implementation of Complex Systems. MISC 2018. Lecture Notes in Networks and Systems, vol 64. Springer, Cham. https://doi.org/10.1007/978-3-030-05481-6_12

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