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arXiv · 1610.00879

A Computational Approach to Automatic Prediction of Drunk Texting

Aditya Joshi·Abhijit Mishra·Balamurali AR·Pushpak Bhattacharyya·Mark Carman
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Abstract

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.

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Aditya Joshi, Abhijit Mishra, Balamurali AR, Pushpak Bhattacharyya, Mark Carman. 2016-10-04. A Computational Approach to Automatic Prediction of Drunk Texting. https://arxiv.org/abs/1610.00879

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