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Sentiment Analysis in Google Play Store: Algerian Reviews Case

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Modelling and Implementation of Complex Systems (MISC 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 156))

Abstract

In mobile application stores, users very often rely on the opinions of others before downloading an application and its reputation could depend entirely on them. This makes analysis of users’ reviews very interesting for application owners to take future decisions. In this paper, we are interested in analyzing Algerian reviews on application store using sentiment analysis. To the best of our knowledge, this is the first study that explores the Algerian context where reviews have the particularity of being written using different languages (French, Arabic and Algerian Dialect) making them difficult to process. We analyzed these reviews according to two existing approaches: Automatic approach based on machine learning and Lexicon-based one. Evaluation of the proposed solution is conducted on more than 50 000 reviews collected from popular Algerian applications on Google play store. The obtained results are very promising, we achieved an accuracy of 80% using the lexicon-based approach and of 72% for SVM on Dialect reviews.

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Notes

  1. 1.

    https://www.statista.com/statistics/276623/number-of-apps-available-in-leading-app-stores/.

  2. 2.

    http://qalam.info/.

  3. 3.

    https://www.nltk.org/.

  4. 4.

    https://snowballstem.org/.

  5. 5.

    https://www.arabicstemmer.com/.

  6. 6.

    Natural Language Processing.

  7. 7.

    https://tagtog.net/.

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Author information

Authors and Affiliations

  1. Laboratoire de la Communication dans les Systèmes Informatiques (LCSI), Ecole Nationale Supérieure d’Informatique (ESI), BP 68M, 16309, Oued-Smar, Algiers, Algeria

    Asma Chader, Leila Hamdad & Abdesselam Belkhiri

Authors
  1. Asma Chader
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  2. Leila Hamdad
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  3. Abdesselam Belkhiri
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Corresponding author

Correspondence to Asma Chader .

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, 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

  5. Faculty of Science and Technology, Department of Mathematics and Computer Science, University of El Oued, El-Oued, Algeria

    Mohamed Khireddine Kholladi

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Chader, A., Hamdad, L., Belkhiri, A. (2021). Sentiment Analysis in Google Play Store: Algerian Reviews Case. In: Chikhi, S., Amine, A., Chaoui, A., Saidouni, D., Kholladi, M. (eds) Modelling and Implementation of Complex Systems. MISC 2020. Lecture Notes in Networks and Systems, vol 156. Springer, Cham. https://doi.org/10.1007/978-3-030-58861-8_8

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  • DOI: https://doi.org/10.1007/978-3-030-58861-8_8

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  • Online ISBN: 978-3-030-58861-8

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