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Social Media Summarization

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A Practical Guide to Sentiment Analysis

Part of the book series: Socio-Affective Computing ((SAC,volume 5))

Abstract

Social media is an important venue for information sharing, discussions or conversations on a variety of topics and events generated or happening across the globe. Application of automated text summarization techniques on the large volume of information piled up in social media can produce textual summaries in a variety of flavors depending on the difficulty of the use case. This chapter talks about the available set of techniques to generate summaries from different genres of social media text with an extensive introduction to extractive summarization techniques.

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Notes

  1. 1.

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Acknowledgement

We extend our sincere thanks to people of SIEL lab, IIIT Hyderabad for giving us the suggestion in organizing the chapter and to Vigneshwaran M, LTRC, IIIT for helping us in editing the content. We also thank Sangeetha Thomas, MA Psychology, University of Hyderabad for her insightful inputs on psychological aspects of social media usage. We received grants from DIETY, NOKIA (Microsoft Mobile) and acknowledge their contribution towards the research activities at SIEL lab, IIIT Hyderabad.

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Authors and Affiliations

  1. International Institute of Information Technology-Hyderabad, Hyderabad, India

    Vasudeva Varma, Litton J. Kurisinkel & Priya Radhakrishnan

Authors
  1. Vasudeva Varma
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  2. Litton J. Kurisinkel
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  3. Priya Radhakrishnan
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Correspondence to Vasudeva Varma .

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Editors and Affiliations

  1. School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore

    Erik Cambria

  2. Computer Science and Engineering Department, Jadavpur University, Kolkata, India

    Dipankar Das

  3. Computer Science and Engineering Department, Jadavpur University, Kolkata, India

    Sivaji Bandyopadhyay

  4. Fraunhofer IDM@NTU, Nanyang Technological University, Singapore, Singapore

    Antonio Feraco

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Varma, V., Kurisinkel, L.J., Radhakrishnan, P. (2017). Social Media Summarization. In: Cambria, E., Das, D., Bandyopadhyay, S., Feraco, A. (eds) A Practical Guide to Sentiment Analysis. Socio-Affective Computing, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-55394-8_7

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