Challenges for using social media for early detection of T2DM

Dane Bell; Daniel Fried; Luwen Huangfu; Mihai Surdeanu; Stephen G Kobourov

Challenges for using social media for early detection of T2DM

Dane Bell, Daniel Fried, Luwen Huangfu, Mihai Surdeanu, Stephen G Kobourov

Research output: Contribution to journal › Article › peer-review

Abstract

Twitter and other social media data are utilized for a wide variety of applications such as marketing and stock market prediction. Each application and appropriate domain of social media text presents its own challenges and benefits. We discuss methods for detecting obesity, a risk factor for Type II Diabetes Mellitus (T2DM), from the language of food on Twitter on community data, the peculiarities of this data, and the development of individual-level data for this task.

Original language	English (US)
Pages (from-to)	1-2
Number of pages	2
Journal	CEUR Workshop Proceedings
Volume	1696
State	Published - 2016

ASJC Scopus subject areas

Computer Science(all)

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abstract = "Twitter and other social media data are utilized for a wide variety of applications such as marketing and stock market prediction. Each application and appropriate domain of social media text presents its own challenges and benefits. We discuss methods for detecting obesity, a risk factor for Type II Diabetes Mellitus (T2DM), from the language of food on Twitter on community data, the peculiarities of this data, and the development of individual-level data for this task.",

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