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. 2018 May 9;4(2):e51. doi: 10.2196/publichealth.8214

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©Danushka Bollegala, Simon Maskell, Richard Sloane, Joanna Hajne, Munir Pirmohamed. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 09.05.2018.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included.

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Extracting lexical patterns from a tweet that describes an adverse reaction (dizziness) caused by a drug (Atenolol). The tweet is split into 3 parts—prefix, midfix, and postfix, and various lexical patterns are extracted from each part. See text for the details of the pattern extraction method. Best viewed in color.