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    Sentiment Analysis of Weather-Related Tweets from Cities within Hot Climates

    Source: Weather, Climate, and Society:;2022:;volume( 014 ):;issue: 004::page 1133
    Author:
    Yuliya Dzyuban
    ,
    Graces N. Y. Ching
    ,
    Sin Kang Yik
    ,
    Adrian J. Tan
    ,
    Peter J. Crank
    ,
    Shreya Banerjee
    ,
    Rachel Xin Yi Pek
    ,
    Winston T. L. Chow
    DOI: 10.1175/WCAS-D-21-0159.1
    Publisher: American Meteorological Society
    Abstract: Evidence exists that exposure to weather hazards, particularly in cities subject to heat island and climate change impacts, strongly affects individuals’ physical and mental health. Personal exposure to and sentiments about warm conditions can currently be expressed on social media, and recent research noted that the geotagged, time-stamped, and accessible social media databases can potentially be indicative of the public mood and health for a region. This study attempts to understand the relationships between weather and social media sentiments via Twitter and weather data from 2012 to 2019 for two cities in hot climates: Singapore and Phoenix, Arizona. We first detected weather-related tweets, and subsequently extracted keywords describing weather sensations. Furthermore, we analyzed frequencies of most used words describing weather sensations and created graphs of commonly occurring bigrams to understand connections between them. We further explored the annual trends between keywords describing heat and heat-related thermal discomfort and temperature profiles for two cities. Results showed significant relationships between frequency of heat-related tweets and temperature. For Twitter users exposed to no strong temperature seasonality, we noticed an overall negative cluster around hot sensations. Seasonal variability was more apparent in Phoenix, with more positive weather-related sentiments during the cooler months. This demonstrates the viability of Twitter data as a rapid indicator for periods of higher heat experienced by public and greater negative sentiment toward the weather, and its potential for effective tracking of real-time urban heat stress.
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      Sentiment Analysis of Weather-Related Tweets from Cities within Hot Climates

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4289805
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    contributor authorYuliya Dzyuban
    contributor authorGraces N. Y. Ching
    contributor authorSin Kang Yik
    contributor authorAdrian J. Tan
    contributor authorPeter J. Crank
    contributor authorShreya Banerjee
    contributor authorRachel Xin Yi Pek
    contributor authorWinston T. L. Chow
    date accessioned2023-04-12T18:30:59Z
    date available2023-04-12T18:30:59Z
    date copyright2022/10/04
    date issued2022
    identifier otherWCAS-D-21-0159.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4289805
    description abstractEvidence exists that exposure to weather hazards, particularly in cities subject to heat island and climate change impacts, strongly affects individuals’ physical and mental health. Personal exposure to and sentiments about warm conditions can currently be expressed on social media, and recent research noted that the geotagged, time-stamped, and accessible social media databases can potentially be indicative of the public mood and health for a region. This study attempts to understand the relationships between weather and social media sentiments via Twitter and weather data from 2012 to 2019 for two cities in hot climates: Singapore and Phoenix, Arizona. We first detected weather-related tweets, and subsequently extracted keywords describing weather sensations. Furthermore, we analyzed frequencies of most used words describing weather sensations and created graphs of commonly occurring bigrams to understand connections between them. We further explored the annual trends between keywords describing heat and heat-related thermal discomfort and temperature profiles for two cities. Results showed significant relationships between frequency of heat-related tweets and temperature. For Twitter users exposed to no strong temperature seasonality, we noticed an overall negative cluster around hot sensations. Seasonal variability was more apparent in Phoenix, with more positive weather-related sentiments during the cooler months. This demonstrates the viability of Twitter data as a rapid indicator for periods of higher heat experienced by public and greater negative sentiment toward the weather, and its potential for effective tracking of real-time urban heat stress.
    publisherAmerican Meteorological Society
    titleSentiment Analysis of Weather-Related Tweets from Cities within Hot Climates
    typeJournal Paper
    journal volume14
    journal issue4
    journal titleWeather, Climate, and Society
    identifier doi10.1175/WCAS-D-21-0159.1
    journal fristpage1133
    journal lastpage1145
    page1133–1145
    treeWeather, Climate, and Society:;2022:;volume( 014 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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