A Computational Approach to Automatic Prediction of Drunk Texting

10/04/2016

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by   Aditya Joshi, et al.

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Monash University

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IIT Bombay

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univ-mrs.fr

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Alcohol abuse may lead to unsociable behavior such as crime, drunk driving, or privacy leaks. We introduce automatic drunk-texting prediction as the task of identifying whether a text was written when under the influence of alcohol. We experiment with tweets labeled using hashtags as distant supervision. Our classifiers use a set of N-gram and stylistic features to detect drunk tweets. Our observations present the first quantitative evidence that text contains signals that can be exploited to detect drunk-texting.