Social media mining for public health monitoring and surveillance

Michael J. Paul; Abeed Sarker; John S. Brownstein; Azadeh Nikfarjam; Matthew Scotch; Karen L. Smith; Graciela Gonzalez

Social media mining for public health monitoring and surveillance

Michael J. Paul, Abeed Sarker, John S. Brownstein, Azadeh Nikfarjam, Matthew Scotch, Karen L. Smith, Graciela Gonzalez

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper describes topics pertaining to the session, “Social Media Mining for Public Health Monitoring and Surveillance,” at the Pacific Symposium on Biocomputing (PSB) 2016. In addition to summarizing the content of the session, this paper also surveys recent research on using social media data to study public health. The survey is organized into sections describing recent progress in public health problems, computational methods, and social implications.

Original language	English (US)
Title of host publication	Pacific Symposium on Biocomputing 2016, PSB 2016
Publisher	World Scientific Publishing Co. Pte Ltd
Pages	468-479
Number of pages	12
State	Published - 2016
Event	21st Pacific Symposium on Biocomputing, PSB 2016 - Big Island, United States Duration: Jan 4 2016 → Jan 8 2016

Other

Other	21st Pacific Symposium on Biocomputing, PSB 2016
Country/Territory	United States
City	Big Island
Period	1/4/16 → 1/8/16

Keywords

Data mining
Natural language processing
Public health
Social media

ASJC Scopus subject areas

Computational Theory and Mathematics
Biomedical Engineering

Cite this

@inproceedings{a16ec0ccbe594eb99ad81a1153165396,

title = "Social media mining for public health monitoring and surveillance",

abstract = "This paper describes topics pertaining to the session, “Social Media Mining for Public Health Monitoring and Surveillance,” at the Pacific Symposium on Biocomputing (PSB) 2016. In addition to summarizing the content of the session, this paper also surveys recent research on using social media data to study public health. The survey is organized into sections describing recent progress in public health problems, computational methods, and social implications.",

keywords = "Data mining, Natural language processing, Public health, Social media",

author = "Paul, {Michael J.} and Abeed Sarker and Brownstein, {John S.} and Azadeh Nikfarjam and Matthew Scotch and Smith, {Karen L.} and Graciela Gonzalez",

year = "2016",

language = "English (US)",

pages = "468--479",

booktitle = "Pacific Symposium on Biocomputing 2016, PSB 2016",

publisher = "World Scientific Publishing Co. Pte Ltd",

address = "Singapore",

note = "21st Pacific Symposium on Biocomputing, PSB 2016 ; Conference date: 04-01-2016 Through 08-01-2016",

}

TY - GEN

T1 - Social media mining for public health monitoring and surveillance

AU - Paul, Michael J.

AU - Sarker, Abeed

AU - Brownstein, John S.

AU - Nikfarjam, Azadeh

AU - Scotch, Matthew

AU - Smith, Karen L.

AU - Gonzalez, Graciela

PY - 2016

Y1 - 2016

N2 - This paper describes topics pertaining to the session, “Social Media Mining for Public Health Monitoring and Surveillance,” at the Pacific Symposium on Biocomputing (PSB) 2016. In addition to summarizing the content of the session, this paper also surveys recent research on using social media data to study public health. The survey is organized into sections describing recent progress in public health problems, computational methods, and social implications.

AB - This paper describes topics pertaining to the session, “Social Media Mining for Public Health Monitoring and Surveillance,” at the Pacific Symposium on Biocomputing (PSB) 2016. In addition to summarizing the content of the session, this paper also surveys recent research on using social media data to study public health. The survey is organized into sections describing recent progress in public health problems, computational methods, and social implications.

KW - Data mining

KW - Natural language processing

KW - Public health

KW - Social media

UR - http://www.scopus.com/inward/record.url?scp=85011375169&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85011375169&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85011375169

SP - 468

EP - 479

BT - Pacific Symposium on Biocomputing 2016, PSB 2016

PB - World Scientific Publishing Co. Pte Ltd

T2 - 21st Pacific Symposium on Biocomputing, PSB 2016

Y2 - 4 January 2016 through 8 January 2016

ER -

Social media mining for public health monitoring and surveillance

Abstract

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Keywords

ASJC Scopus subject areas

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