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Extracting Key Challenges in Achieving Sobriety Through Shared Subspace Learning

  • Haripriya HarikumarEmail author
  • Thin Nguyen
  • Santu Rana
  • Sunil Gupta
  • Ramachandra Kaimal
  • Svetha Venkatesh
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10086)

Abstract

Alcohol abuse is quite common among all people without any age restrictions. The uncontrolled use of alcohol affects both the individual and society. Alcohol addiction leads to a huge increase in crime, suicide, health related problems and financial crisis. Research has shown that certain behavioral changes can be effective towards staying abstained. The analysis of behavioral changes of quitters and those who are at the beginning phase of quitting can be useful for reducing the issues related to alcohol addiction. Most of the conventional approaches are based on surveys and, therefore, expensive in both time and cost. Social media has lend itself as a source of large, diverse and unbiased data for analyzing social behaviors. Reddit is a social media platform where a large number of people communicate with each other. It has many different sub-groups called subreddits categorized based on the subject. We collected more than 40,000 self reported user’s data from a subreddit called ‘/r/stopdrinking’. We divide the data into two groups, short-term with abstinent days less than 30 and long-term abstainers with abstinent days greater than 365 based on badge days at the time of post submission. Common and discriminative topics are extracted from the data using JS-NMF, a shared subspace non-negative matrix factorization method. The validity of the extracted topics are demonstrated through predictive performance.

Keywords

Social media Reddit Shared subspace Topics Alcohol addiction 

Notes

Acknowledgment

This work is partially supported by the Telstra-Deakin Centre of Excellence in Big Data and Machine Learning.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Haripriya Harikumar
    • 1
    Email author
  • Thin Nguyen
    • 1
  • Santu Rana
    • 1
  • Sunil Gupta
    • 1
  • Ramachandra Kaimal
    • 2
  • Svetha Venkatesh
    • 1
  1. 1.Centre for Pattern Recognition and Data AnalyticsDeakin UniversityGeelongAustralia
  2. 2.Computer Science and Engineering DepartmentAmrita UniversityKollamIndia

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