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A Comprehensive Study of Sentiment Analysis in Big Data Applications

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Advances in Cybernetics, Cognition, and Machine Learning for Communication Technologies

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 643))

Abstract

Sentiment analysis [SA] is a computational analysis of sentiments or opinions, emotions, views, subjectivity expressed in text or associated with big data such as reviews, blogs, discussions, news, comments, feedback etc., about things such as electronic products, movies, public or private services, organizations, individuals, issues, events, topics, and their attributes. It represents a large problem space and this field has become a very active area. This survey paper deals with a comprehensive analysis of the research work carried out for the duration of 2010–2019 in the relevance of conventional methods, enhanced methods and associated techniques employed for the sentiment analysis research problems. Evidently, this article includes an analysis of the majority of the research work done by earlier researchers with respect to the related domain. However, we anticipate that the references mentioned will wrap up the most important theoretical aspects, and this review would be eventually helpful to subsequent researchers for upcoming research trends.

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Acknowledgements

I would like thank to the CMR College of Engineering & Technology for their continues support.

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Authors and Affiliations

  1. Department of Computer Science & Engineering, CMR College of Engineering & Technology, Hyderabad, India

    Midde Venkateswarlu Naik & Mohd Dilshad Anasari

  2. Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, India

    Vinit Kumar Gunjan

  3. Department of Electronics and Communication, Invettis University, Bareilly, India

    Santosh Kumar

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  1. Midde Venkateswarlu Naik
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  2. Mohd Dilshad Anasari
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  3. Vinit Kumar Gunjan
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  4. Santosh Kumar
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Corresponding author

Correspondence to Midde Venkateswarlu Naik .

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Editors and Affiliations

  1. Department of Compupter Science and Engineering, CMR Institute of Technology, Hyderabad, India

    Vinit Kumar Gunjan

  2. University of Salerno, Fisciano, Italy

    Sabrina Senatore

  3. BioAxis DNA Research Centre Private Ltd, Hyderabad, India

    Amit Kumar

  4. School of Computing, University of Eastern Finland, Kuopio, Finland

    Xiao-Zhi Gao

  5. CMR College of Engineering and Technology, Hyderabad, India

    Suresh Merugu

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Naik, M.V., Anasari, M.D., Gunjan, V.K., Kumar, S. (2020). A Comprehensive Study of Sentiment Analysis in Big Data Applications. In: Gunjan, V., Senatore, S., Kumar, A., Gao, XZ., Merugu, S. (eds) Advances in Cybernetics, Cognition, and Machine Learning for Communication Technologies. Lecture Notes in Electrical Engineering, vol 643. Springer, Singapore. https://doi.org/10.1007/978-981-15-3125-5_35

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