Work

Sentiment Analysis of Breast Cancer Screening in the United States using Twitter

Year: 2016

Type: conference-paper

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.

Source: International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

DOI: 10.5220/0006047102650274

Authors: Kai O. Wong, Faith G. Davis, Osmar R. Zaïane, Yutaka Yasui

Institution: University of Alberta

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W2554438769

FWCI: 0.888

Cites: 17

Cited by: 12

Related to: 10