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Background: The exponential growth of location-based social media LBSM data has ushered in novel prospects for investigating the urban food environment in health geography research. However, previous studies have primarily relied on word dictionaries with a limited number of food words and employed common-sense categorizations to determine the healthiness of those words.
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100 st george st toronto on m5s 3g3
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The dean welcomes every opportunity to connect with our community, but her schedule and various commitments limit her ability to attend every function. Office of the Faculty Registrar.
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George Campus Map. Office of the Faculty Registrar. Stay connected, learn more and get involved alumni artsci. U of T Campus Updates including closures due to emergencies and weather conditions, and emergency contact information. By giving to the University of Toronto, you can support groundbreaking research and teaching, help shape our next generation of leaders and address the social issues you care about most. Donate Online. The dean welcomes every opportunity to connect with our community, but her schedule and various commitments limit her ability to attend every function. For any proposed event, please fill out this form at least 8 weeks in advance. If you have any questions, please contact dean. Work where the world comes to think, discover and learn.
100 st george st toronto on m5s 3g3
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Keywords: Food energy density; Food environment; Food words; Geographic information science; Health geography; Machine learning. If you have any questions, please contact dean. Stay connected, learn more and get involved alumni artsci. Publication types Research Support, Non-U. U of T Campus Updates including closures due to emergencies and weather conditions, and emergency contact information. To ensure a thorough exploration of the prediction problem, ten widely used machine learning models are evaluated. Or stay in touch by joining our alumni LinkedIn and alumni Facebook pages. Donate Online. Abstract Background: The exponential growth of location-based social media LBSM data has ushered in novel prospects for investigating the urban food environment in health geography research. Within the context, this study delves into the exploration of expanding food-related words along with their associated energy densities. Search form Search.
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However, previous studies have primarily relied on word dictionaries with a limited number of food words and employed common-sense categorizations to determine the healthiness of those words. Office of the Faculty Registrar. Feeling Distressed? This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Donate Online. This method makes a valuable contribution to building a more comprehensive list of food words that can be used in geography and public health studies by mining geotagged social media data. Skip to main content. Stay connected, learn more and get involved alumni artsci. Or stay in touch by joining our alumni LinkedIn and alumni Facebook pages. If you have any questions, please contact dean.
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