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Social Media Analytics: Current Trends and Future Prospects

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Communication and Intelligent Systems

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 204))

Abstract

Social media analytics (SMA) has recently emerged as a dominant research field due to the usage of social media platforms, globally. The SMA usually involves the primary steps of data acquisition, preprocessing and analysis. Due to voluminous, heterogeneous, imprecise and noisy data, challenges at each step are inevitable. The need for unparalleled storage, computing power and efficiency have rendered traditional data modeling methods inapplicable. There is substantial literature available on the challenges and issues related to particular analysis approaches. However, there hardly exists any study on the steps of social media analytics. To enlighten this gap, this paper presents the current trends and proposes a novel framework for SMA. This framework provides a roadmap to the five stages of SMA, i.e., data acquisition, preprocessing, data representation, analysis and presentation along with its challenges at each stage. The potential of the state-of-the-art machine learning techniques such as deep learning and transfer learning for addressing issues of SMA are described. Further, the article puts emphasis on the future prospects of SMA in terms of knowledge discovery, recommendation and trust in social media.

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Author information

Authors and Affiliations

  1. Institute of Engineering and Technology, Dr. APJ Abdul Kalam Technical University, Lucknow, Uttar Pradesh, 226021, India

    Sonam Srivastava, Mahesh Kumar Singh & Yogendra Narain Singh

Authors
  1. Sonam Srivastava
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  2. Mahesh Kumar Singh
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  3. Yogendra Narain Singh
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Rajasthan Technical University, Kota, Rajasthan, India

    Harish Sharma

  2. Department of Computer Science and Engineering, Swami Keshvanand Institute of Technology, Jaipur, India

    Mukesh Kumar Gupta

  3. Birla Institute of Applied Sciences, Nainital, Uttarakhand, India

    G. S. Tomar

  4. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Wang Lipo

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© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Srivastava, S., Singh, M.K., Singh, Y.N. (2021). Social Media Analytics: Current Trends and Future Prospects. In: Sharma, H., Gupta, M.K., Tomar, G.S., Lipo, W. (eds) Communication and Intelligent Systems. Lecture Notes in Networks and Systems, vol 204. Springer, Singapore. https://doi.org/10.1007/978-981-16-1089-9_78

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  • DOI: https://doi.org/10.1007/978-981-16-1089-9_78

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-1088-2

  • Online ISBN: 978-981-16-1089-9

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