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State of the Art of Deep Learning Applications in Sentiment Analysis: Psychological Behavior Prediction

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Embedded Systems and Artificial Intelligence

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1076))

Abstract

With the explosion of web 2.0, we are witnessing a sharp increase in Internet users such as a vertiginous evolution of social media. These media constitute a source of rich and varied information for researchers in sentiment analyses. This paper describes a tool for sifting through and synthesizing reviews by identifying the main deep learning techniques applied for sentiment analysis especially when it comes to psychological behavior prediction.

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Author information

Authors and Affiliations

  1. Smart System Laboratory (SSL), ENSIAS, Rabat, Morocco

    Naji Maryame, Daoudi Najima & Ajhoun Rachida

  2. Lyrica, ESI, Rabat, Morocco

    Daoudi Najima & Rahimi Hasnae

Authors
  1. Naji Maryame
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  2. Daoudi Najima
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  3. Rahimi Hasnae
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  4. Ajhoun Rachida
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Corresponding author

Correspondence to Naji Maryame .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  2. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  3. Department of Computer Sciences, Faculty of Sciences Dhar Mahraz, Sidi Mohammed Ben Abbdallah University, Fez, Morocco

    Hassan Satori

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Maryame, N., Najima, D., Hasnae, R., Rachida, A. (2020). State of the Art of Deep Learning Applications in Sentiment Analysis: Psychological Behavior Prediction. In: Bhateja, V., Satapathy, S., Satori, H. (eds) Embedded Systems and Artificial Intelligence. Advances in Intelligent Systems and Computing, vol 1076. Springer, Singapore. https://doi.org/10.1007/978-981-15-0947-6_42

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