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Emotion Analysis on Social Media: Natural Language Processing Approaches and Applications

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Online Collective Action

Part of the book series: Lecture Notes in Social Networks ((LNSN))

Abstract

The rapidly growing online activities in the Web motivate us to analyze the reactions of different emotional catalysts on various social networking substrates. Thus, in the present chapter, different concepts, motivations, approaches and applications of emotion analysis are discussed in order to achieve the main challenging tasks such as feature representation schema, emotion classification, holder and topic detection and identifying their co-references, etc. as these are the main salient points to cover while analyzing emotions in social media. Additionally, a prototype is also described and assessed to analyze emotions, its collective actions based on users and topics, its components and their association from different available data sets of English and Bengali as case studies. Experiments and final outcomes highlight the promise of the approach and some open research problems.

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Notes

  1. 1.

    http://twittersentiment.appspot.com/

  2. 2.

    http://www.tweetfeel.com/

  3. 3.

    http://nlp.stanford.edu/software/lex-parser.shtml

  4. 4.

    http://verbs.colorado.edu/~mpalmer/projects/verbnet.html

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Acknowledgments

The work reported in this paper was supported by a grant from the India-Japan Cooperative Programme (DSTJST) 2009 Research project entitled “Sentiment Analysis where AI meets Psychology” funded by Department of Science and Technology (DST), Government of India.

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Authors and Affiliations

  1. Computer Science & Engineering Department, Jadavpur University, Kolkata, India

    Dipankar Das & Sivaji Bandyopadhyay

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  1. Dipankar Das
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  2. Sivaji Bandyopadhyay
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Correspondence to Dipankar Das .

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Editors and Affiliations

  1. Department of Information Science, University of Arkansas at Little Rock, Little Rock, Arkansas, USA

    Nitin Agarwal

  2. School of Journalism and Communication, Carleton University, Ottawa, Ontario, Canada

    Merlyna Lim

  3. Departments of Information Science and Business Information Systems, University of Arkansas at Little Rock, Little Rock, USA

    Rolf T. Wigand

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Das, D., Bandyopadhyay, S. (2014). Emotion Analysis on Social Media: Natural Language Processing Approaches and Applications. In: Agarwal, N., Lim, M., Wigand, R. (eds) Online Collective Action. Lecture Notes in Social Networks. Springer, Vienna. https://doi.org/10.1007/978-3-7091-1340-0_2

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