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Survey: Emotion Recognition from Text Using Different Approaches

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Futuristic Trends in Networks and Computing Technologies

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 936))

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Abstract

Text Processing is a method for comprehending, analyzing, and cleaning text as well as performing actions on the same data. The technique is used to extract meaningful data from text. It is a written form of communication to express emotions through text. Happy, neutral, fear, sadness, surprise, disgust, and anger are the most common emotional expressions. As a result, in the social media era, identifying emotions from text is especially important. A survey of operational methods and approaches for identifying emotion from textual data is discussed in this paper. This research primarily focuses on existing datasets and methodologies that incorporate a Lexical keyword, Machine Learning and Hybrid-based approach.

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Authors and Affiliations

  1. Gandhinagar Institute of Technology, Gandhinagar, India

    Aanal Shah & Madhuri Chopade

  2. Leelaben Dashrathbhai Ramdas Patel (L.D.R.P.) Institute of Technology & Research, Gandhinagar, India

    Parth Patel

  3. Ahmedabad Institute of Technology, Ahmedabad, India

    Parin Patel

Authors
  1. Aanal Shah
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  2. Madhuri Chopade
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  3. Parth Patel
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  4. Parin Patel
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Corresponding author

Correspondence to Aanal Shah .

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Editors and Affiliations

  1. KIET Group of Institutions, Ghaziabad, India

    Pradeep Kumar Singh

  2. Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland

    Sławomir T. Wierzchoń

  3. Department of Computer Engineering, NIT Kurukshetra, Haryana, India

    Jitender Kumar Chhabra

  4. Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India

    Sudeep Tanwar

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Shah, A., Chopade, M., Patel, P., Patel, P. (2022). Survey: Emotion Recognition from Text Using Different Approaches. In: Singh, P.K., Wierzchoń, S.T., Chhabra, J.K., Tanwar, S. (eds) Futuristic Trends in Networks and Computing Technologies . Lecture Notes in Electrical Engineering, vol 936. Springer, Singapore. https://doi.org/10.1007/978-981-19-5037-7_31

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  • DOI: https://doi.org/10.1007/978-981-19-5037-7_31

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-5036-0

  • Online ISBN: 978-981-19-5037-7

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