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A Framework to Rank Nodes in Social Media Graph Based on Sentiment-Related Parameters

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Proceedings of International Conference on ICT for Sustainable Development

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 409))

Abstract

Social networks provide a platform for users to interact and engage in various activities. Information pertaining to social media can be shared, ideas can be put forward and opinions can be analysed. Sentiment analysis of user comments can be done to extract important information and to make informed decisions. This paper elucidates previous work done on sentiment analysis and different ranking techniques for utilisation in different applications. A methodology is proposed in this paper for ranking users based on parameters such as likes, shares and user comments. Two ranking techniques are proposed in the methodology. One technique is based on the cosine similarity and the other involves features such as user comments.

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Author information

Authors and Affiliations

  1. University Institute of Engineering and Technology, Panjab University, Chandigarh, India

    Meghna Chaudhary & Harish Kumar

Authors
  1. Meghna Chaudhary
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  2. Harish Kumar
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Corresponding author

Correspondence to Meghna Chaudhary .

Editor information

Editors and Affiliations

  1. Dept of Comp. Sci. & Engg, Anil Neerukonda Inst of Tech and Science, Visakhapatnam, India

    Suresh Chandra Satapathy

  2. Sabarkantha, Sabar Institute of Technology, Sabarkantha, Gujarat, India

    Amit Joshi

  3. Narsinhbhai Inst of Comp Studies & Mgmt, Gandhinagar, Gujarat, India

    Nilesh Modi

  4. Narsinhbhai Inst of Comp Studies & Mgmt, Gandhinagar, India

    Nisarg Pathak

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© 2016 Springer Science+Business Media Singapore

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Chaudhary, M., Kumar, H. (2016). A Framework to Rank Nodes in Social Media Graph Based on Sentiment-Related Parameters. In: Satapathy, S., Joshi, A., Modi, N., Pathak, N. (eds) Proceedings of International Conference on ICT for Sustainable Development. Advances in Intelligent Systems and Computing, vol 409. Springer, Singapore. https://doi.org/10.1007/978-981-10-0135-2_26

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  • DOI: https://doi.org/10.1007/978-981-10-0135-2_26

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0133-8

  • Online ISBN: 978-981-10-0135-2

  • eBook Packages: EngineeringEngineering (R0)

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