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
N1 - Publisher Copyright:
© 2016, CEUR-WS. All rights reserved.
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
AN - SCOPUS:84992664090
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 -