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Authors: Kai O. Wong 1 ; Faith G. Davis 1 ; Osmar R. Zaïane 1 and Yutaka Yasui 2

Affiliations: 1 University of Alberta, Canada ; 2 St. Jude Children’s Research Hospital and University of Alberta, United States

ISBN: 978-989-758-203-5

Keyword(s): Cancer Screening, Social Media, Data Visualization, Sentiment Analysis, Spatial Analysis, Twitter.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Computational Intelligence ; Data Analytics ; Data Engineering ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Mining Multimedia Data ; Mining Text and Semi-Structured Data ; Soft Computing ; Symbolic Systems ; Visual Data Mining and Data Visualization

Abstract: Whether or not U.S. women follow the recommended breast cancer screening guidelines is related to the perceived benefits and harms of the procedure. Twitter is a rich source of subjective information containing individuals’ sentiment towards public health interventions/technologies. Using our modified version of Hutto and Gilbert (2014) sentiment classifier, we described the temporal, geospatial, and thematic patterns of public sentiment towards breast cancer screening with 8 months of tweets (n=64,524) in the U.S. To examine how sentiment was related to screening uptake behaviour, we investigated and identified significant associations between breast cancer screening sentiment (via Twitter) and breast cancer screening uptake (via BRFSS) at the state level.

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Paper citation in several formats:
Wong, K.; Davis, F.; Zaïane, O. and Yasui, Y. (2016). Sentiment Analysis of Breast Cancer Screening in the United States using Twitter.In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016) ISBN 978-989-758-203-5, pages 265-274. DOI: 10.5220/0006047102650274

@conference{kdir16,
author={Kai O. Wong. and Faith G. Davis. and Osmar R. Zaïane. and Yutaka Yasui.},
title={Sentiment Analysis of Breast Cancer Screening in the United States using Twitter},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016)},
year={2016},
pages={265-274},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006047102650274},
isbn={978-989-758-203-5},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016)
TI - Sentiment Analysis of Breast Cancer Screening in the United States using Twitter
SN - 978-989-758-203-5
AU - Wong, K.
AU - Davis, F.
AU - Zaïane, O.
AU - Yasui, Y.
PY - 2016
SP - 265
EP - 274
DO - 10.5220/0006047102650274

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