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Analysis of Epidemic Outbreak in Delhi Using Social Media Data

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Information, Communication and Computing Technology (ICICCT 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 750))

Abstract

A Social media generates a vast amount of data related to epidemic outbreak every year. Data produced by social media platform such as Twitter for health surveillance applications is exponentially increasing. Chikungunya and Dengue are taking the toll on Delhi in the year 2016 and mining twitter data reflects the status of Chikungunya and Dengue outbreak in Delhi. In this paper, the tweets extracted from twitter over a time period using epidemic - related keyword are classified using a supervised classification technique called Naïve Bayes classifier with manual tagging feature into relevant epidemic - related tweets with 90% accuracy. The relevant tweets classified are enumerated for analyzing the spread and estimating the most affected month during the outbreak and compare it with the health statistics.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Indira Gandhi Delhi Technical University for Women, Delhi, India

    Sweta Swain & K. R. Seeja

Authors
  1. Sweta Swain
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  2. K. R. Seeja
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Corresponding author

Correspondence to Sweta Swain .

Editor information

Editors and Affiliations

  1. Indian Institute of Technology Delhi, New Delhi, India

    Saroj Kaushik

  2. Delhi Technological University, Delhi, India

    Daya Gupta

  3. Jagan Institute of Management Studies, Delhi, India

    Latika Kharb

  4. Jagan Institute of Management Studies, Delhi, India

    Deepak Chahal

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Swain, S., Seeja, K.R. (2017). Analysis of Epidemic Outbreak in Delhi Using Social Media Data. In: Kaushik, S., Gupta, D., Kharb, L., Chahal, D. (eds) Information, Communication and Computing Technology. ICICCT 2017. Communications in Computer and Information Science, vol 750. Springer, Singapore. https://doi.org/10.1007/978-981-10-6544-6_3

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  • DOI: https://doi.org/10.1007/978-981-10-6544-6_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6543-9

  • Online ISBN: 978-981-10-6544-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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