Classifying Nodes in Social Media Space

Conference paper
First Online:
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 408)

Abstract

Social media provides a platform to interact among people where they share or exchange idea and information. Social network analysis is one of the widest research area used in economics, behavioural, social, political, organizational sciences, etc. Today, maximum information is available online thus a smart system is required to interpret the data. The analysis of information is based on human interaction and the perception of user-generated content. The interpretation fluctuate person-to-person thus automated system is required. In this paper, a methodology is proposed for the classification of node linked with official Panjab University Facebook page.

Keywords

Social media Text classification Cyber Information retrieval Sentiment analysis Opinion mining Facebook Machine learning 
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Copyright information

© Springer Science+Business Media Singapore 2016

Authors and Affiliations

  1. 1.University Institute of Engineering and TechnologyPanjab UniversityChandigarhIndia

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