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 › Conference 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
Event	2nd International Workshop on Social Media World Sensors, SIDEWAYS 2016 - Portoroz, Slovenia Duration: May 24 2016 → …

ASJC Scopus subject areas

General Computer Science

Cite this

@article{8b92f098d8cf4a3da6a007b5da1b9473,

title = "Challenges for using social media for early detection of T2DM",

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.",

author = "Dane Bell and Daniel Fried and Luwen Huangfu and Mihai Surdeanu and Kobourov, {Stephen G}",

year = "2016",

language = "English (US)",

volume = "1696",

pages = "1--2",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

}

TY - JOUR

T1 - Challenges for using social media for early detection of T2DM

AU - Bell, Dane

AU - Fried, Daniel

AU - Huangfu, Luwen

AU - Surdeanu, Mihai

AU - Kobourov, Stephen G

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84992664090&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84992664090&partnerID=8YFLogxK

M3 - Conference article

SN - 1613-0073

VL - 1696

SP - 1

EP - 2

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2nd International Workshop on Social Media World Sensors, SIDEWAYS 2016

Y2 - 24 May 2016

ER -

Challenges for using social media for early detection of T2DM

Abstract

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this