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KDD_FULL_PRESENTATION.pdf

4af679ea7716884dc09bf8b42488bfbb?s=47 _themessier
August 25, 2020
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 KDD_FULL_PRESENTATION.pdf

4af679ea7716884dc09bf8b42488bfbb?s=128

_themessier

August 25, 2020
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  1. Deep Exogenous and Endogenous Influence Combination for Social Chatter Intensity

    Prediction Subhabrata Dutta 1, Sarah Masud 2, Soumen Chakrabarti 3, Tanmoy Chakraborty 2 1 Jadavpur University, India; 2 IIIT-Delhi, India; 3 IIT Bombay, India ACM SIGKDD 2020 August 23-27 Virtual Conference
  2. Introduction

  3. • Chatter intensity Research Motivation - how much people will

    talk, given a content
  4. • Chatter intensity Research Motivation - how much people will

    talk, given a content - need to detect as early as possible - may help containing spread of malicious contents
  5. • Chatter intensity • Exogenous influence Research Motivation Season arrivals

    Discovery Detection Fig.1 Submissions and comments containing two different keywords on Reddit
  6. • Chatter intensity • External influence • Endogenous influence Research

    Motivation Fig.1 Submissions and comments containing ‘Black Mirror’ on different subreddits
  7. Research Motivation • Chatter intensity • External/Internal influence • Existing

    prediction frameworks
  8. Research Motivation • Chatter intensity • External influence • Existing

    prediction frameworks Data Available Publicly • Discussion threads • Subreddit mapping • Who follows whom
  9. Unified Chatter Model • News, submissions and comments come in

    bulk and continuously, so Online prediction • Zero-shot or few-shot prediction • No social network is visible, rely on exogenous and endogenous signals
  10. Unified Chatter Model • News, submissions and comments come in

    bulk and continuously, so Online prediction • Zero-shot or few-shot prediction • No social network is visible, rely on exogenous and endogenous signals
  11. Unified Chatter Model • News, submissions and comments come in

    bulk and continuously, so Online prediction • Zero-shot or few-shot prediction • No social network is visible, rely on exogenous and endogenous signals
  12. Unified Chatter Model • News, submissions and comments come in

    bulk and continuously, so Online prediction • Zero-shot or few-shot prediction • No social network is visible, rely on exogenous and endogenous signals All in one! We propose ChatterNet!
  13. Proposed Framework

  14. ChatterNet

  15. ChatterNet

  16. ChatterNet

  17. ChatterNet

  18. Experiments & Evaluations

  19. Dataset OCT 1, 2019 OCT 31, 2019 NOV 30, 2019

    Submission: 751,866 Comments: 2,604,839 Submission: 1,334,341 Comments: 4,264,177 Articles: 1,851,022 Sources: 4,757 Articles: 2,010,985 Sources: 5054 43 subreddits Training data Testing data
  20. ChatterNet: Main results + and ++ refers to zero-shot and

    1hr early observations, respectively
  21. ChatterNet: Ablation variants Kendall-τ for ablation variants of ChatterNet with

    zero-shot and observation
  22. ChatterNet: Subreddit-wise Mean Absolute Percentage error with ablation on different

    subreddits
  23. ChatterNet: Absolute error vs. size Prediction error increases for larger

    discussions
  24. Details of our framework at: github.com/LCS2-IIITD/ChatterNet For more interesting research

    follow us at: @lcs2iiitd ACM SIGKDD 2020 August 23-27 Virtual Conference