Sentiment analysis on social media for identifying public awareness of type 2 diabetes

Yuezhong Liu; Rudi Stouffs; Yin Leng Theng

Sentiment analysis on social media for identifying public awareness of type 2 diabetes

Yuezhong Liu, Rudi Stouffs, Yin Leng Theng

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

1 Citation (Scopus)

Abstract

Many studies have investigated how Type 2 Diabetes Mellitus (T2DM) is impacted by environmental characteristics. However, it is unclear whether the public is aware of this relationship. This paper aims to infer public awareness based on sentiment analysis of environmental characteristics from social media (news) as context-based clues for supporting planners and designers to achieve a health-supportive environment. We apply natural language processing (NLP) techniques to past years’ news (from 1992 to 2020) to understand the public awareness on the relationship between the prevalence of T2DM and environmental characteristics. The results not only verify that the public aware little that prevalence of T2DM correlates with environmental characteristics in Singapore (1% news related to both diabetes and environment), but also present a hypothetical urban design study to demonstrate how this approach can be adapted to identify the health-related urban issues at the early design stage. This study can offer urban planners and designers an innovative design perspective to incorporate residents' health into the design process.

Original language	English
Title of host publication	ANZAScA 2020 - 54th International Conference of the Architectural Science Association
Subtitle of host publication	Imaginable Futures: Design Thinking, and the Scientific Method
Editors	Ali Ghaffarianhoseini, Amirhosein Ghaffarianhoseini, Nicola Naismith, Mahesh Babu Purushothaman, Dat Doan, Esther Aigwi, Funmi Rotimi, Nariman Ghodrati
Publisher	Architectural Science Association
Pages	956-965
Number of pages	10
ISBN (Electronic)	9780992383572
Publication status	Published - 2020
Externally published	Yes
Event	54th International Conference of the Architectural Science Association, ANZAScA 2020 - Virtual, Online, New Zealand Duration: Nov 26 2020 → Nov 27 2020

Publication series

Name	Proceedings of the International Conference of Architectural Science Association
Volume	2020-November
ISSN (Electronic)	2209-3850

Conference

Conference	54th International Conference of the Architectural Science Association, ANZAScA 2020
Country/Territory	New Zealand
City	Virtual, Online
Period	11/26/20 → 11/27/20

Bibliographical note

Publisher Copyright:
© 2020 and published by the Architectural Science Association (ANZAScA).

ASJC Scopus Subject Areas

Environmental Engineering
Architecture
Building and Construction
Renewable Energy, Sustainability and the Environment
Urban Studies
Management, Monitoring, Policy and Law

Keywords

Health-supportive environment
Sentiment analysis
Type 2 diabetes mellitus
Urban design

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

Liu, Y., Stouffs, R., & Theng, Y. L. (2020). Sentiment analysis on social media for identifying public awareness of type 2 diabetes. In A. Ghaffarianhoseini, A. Ghaffarianhoseini, N. Naismith, M. B. Purushothaman, D. Doan, E. Aigwi, F. Rotimi, & N. Ghodrati (Eds.), ANZAScA 2020 - 54th International Conference of the Architectural Science Association: Imaginable Futures: Design Thinking, and the Scientific Method (pp. 956-965). (Proceedings of the International Conference of Architectural Science Association; Vol. 2020-November). Architectural Science Association.

Liu, Yuezhong ; Stouffs, Rudi ; Theng, Yin Leng. / Sentiment analysis on social media for identifying public awareness of type 2 diabetes. ANZAScA 2020 - 54th International Conference of the Architectural Science Association: Imaginable Futures: Design Thinking, and the Scientific Method. editor / Ali Ghaffarianhoseini ; Amirhosein Ghaffarianhoseini ; Nicola Naismith ; Mahesh Babu Purushothaman ; Dat Doan ; Esther Aigwi ; Funmi Rotimi ; Nariman Ghodrati. Architectural Science Association, 2020. pp. 956-965 (Proceedings of the International Conference of Architectural Science Association).

@inproceedings{112cbc3ed8644953bf2cd877c0c6a230,

title = "Sentiment analysis on social media for identifying public awareness of type 2 diabetes",

abstract = "Many studies have investigated how Type 2 Diabetes Mellitus (T2DM) is impacted by environmental characteristics. However, it is unclear whether the public is aware of this relationship. This paper aims to infer public awareness based on sentiment analysis of environmental characteristics from social media (news) as context-based clues for supporting planners and designers to achieve a health-supportive environment. We apply natural language processing (NLP) techniques to past years{\textquoteright} news (from 1992 to 2020) to understand the public awareness on the relationship between the prevalence of T2DM and environmental characteristics. The results not only verify that the public aware little that prevalence of T2DM correlates with environmental characteristics in Singapore (1% news related to both diabetes and environment), but also present a hypothetical urban design study to demonstrate how this approach can be adapted to identify the health-related urban issues at the early design stage. This study can offer urban planners and designers an innovative design perspective to incorporate residents' health into the design process.",

keywords = "Health-supportive environment, Sentiment analysis, Type 2 diabetes mellitus, Urban design",

author = "Yuezhong Liu and Rudi Stouffs and Theng, {Yin Leng}",

note = "Publisher Copyright: {\textcopyright} 2020 and published by the Architectural Science Association (ANZAScA).; 54th International Conference of the Architectural Science Association, ANZAScA 2020 ; Conference date: 26-11-2020 Through 27-11-2020",

year = "2020",

language = "English",

series = "Proceedings of the International Conference of Architectural Science Association",

publisher = "Architectural Science Association",

pages = "956--965",

editor = "Ali Ghaffarianhoseini and Amirhosein Ghaffarianhoseini and Nicola Naismith and Purushothaman, {Mahesh Babu} and Dat Doan and Esther Aigwi and Funmi Rotimi and Nariman Ghodrati",

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}

Liu, Y, Stouffs, R & Theng, YL 2020, Sentiment analysis on social media for identifying public awareness of type 2 diabetes. in A Ghaffarianhoseini, A Ghaffarianhoseini, N Naismith, MB Purushothaman, D Doan, E Aigwi, F Rotimi & N Ghodrati (eds), ANZAScA 2020 - 54th International Conference of the Architectural Science Association: Imaginable Futures: Design Thinking, and the Scientific Method. Proceedings of the International Conference of Architectural Science Association, vol. 2020-November, Architectural Science Association, pp. 956-965, 54th International Conference of the Architectural Science Association, ANZAScA 2020, Virtual, Online, New Zealand, 11/26/20.

Sentiment analysis on social media for identifying public awareness of type 2 diabetes. / Liu, Yuezhong; Stouffs, Rudi; Theng, Yin Leng.
ANZAScA 2020 - 54th International Conference of the Architectural Science Association: Imaginable Futures: Design Thinking, and the Scientific Method. ed. / Ali Ghaffarianhoseini; Amirhosein Ghaffarianhoseini; Nicola Naismith; Mahesh Babu Purushothaman; Dat Doan; Esther Aigwi; Funmi Rotimi; Nariman Ghodrati. Architectural Science Association, 2020. p. 956-965 (Proceedings of the International Conference of Architectural Science Association; Vol. 2020-November).

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

TY - GEN

T1 - Sentiment analysis on social media for identifying public awareness of type 2 diabetes

AU - Liu, Yuezhong

AU - Stouffs, Rudi

AU - Theng, Yin Leng

PY - 2020

Y1 - 2020

N2 - Many studies have investigated how Type 2 Diabetes Mellitus (T2DM) is impacted by environmental characteristics. However, it is unclear whether the public is aware of this relationship. This paper aims to infer public awareness based on sentiment analysis of environmental characteristics from social media (news) as context-based clues for supporting planners and designers to achieve a health-supportive environment. We apply natural language processing (NLP) techniques to past years’ news (from 1992 to 2020) to understand the public awareness on the relationship between the prevalence of T2DM and environmental characteristics. The results not only verify that the public aware little that prevalence of T2DM correlates with environmental characteristics in Singapore (1% news related to both diabetes and environment), but also present a hypothetical urban design study to demonstrate how this approach can be adapted to identify the health-related urban issues at the early design stage. This study can offer urban planners and designers an innovative design perspective to incorporate residents' health into the design process.

AB - Many studies have investigated how Type 2 Diabetes Mellitus (T2DM) is impacted by environmental characteristics. However, it is unclear whether the public is aware of this relationship. This paper aims to infer public awareness based on sentiment analysis of environmental characteristics from social media (news) as context-based clues for supporting planners and designers to achieve a health-supportive environment. We apply natural language processing (NLP) techniques to past years’ news (from 1992 to 2020) to understand the public awareness on the relationship between the prevalence of T2DM and environmental characteristics. The results not only verify that the public aware little that prevalence of T2DM correlates with environmental characteristics in Singapore (1% news related to both diabetes and environment), but also present a hypothetical urban design study to demonstrate how this approach can be adapted to identify the health-related urban issues at the early design stage. This study can offer urban planners and designers an innovative design perspective to incorporate residents' health into the design process.

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Y2 - 26 November 2020 through 27 November 2020

ER -

Liu Y, Stouffs R, Theng YL. Sentiment analysis on social media for identifying public awareness of type 2 diabetes. In Ghaffarianhoseini A, Ghaffarianhoseini A, Naismith N, Purushothaman MB, Doan D, Aigwi E, Rotimi F, Ghodrati N, editors, ANZAScA 2020 - 54th International Conference of the Architectural Science Association: Imaginable Futures: Design Thinking, and the Scientific Method. Architectural Science Association. 2020. p. 956-965. (Proceedings of the International Conference of Architectural Science Association).

Sentiment analysis on social media for identifying public awareness of type 2 diabetes

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

UN SDGs

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Cite this