User Profiling for Tourist Trip Recommendations using Social Sensing

Author(s):  
Vincenzo Emanuele Carusotto ◽  
Giovanni Pilato ◽  
Fabio Persia ◽  
Mouzhi Ge
Author(s):  
Igor Đuric ◽  
Dusan Barac ◽  
Zorica Bogdanovic ◽  
Aleksandra Labus ◽  
Bozidar Radenkovic

2021 ◽  
Vol 88 ◽  
pp. 101629
Author(s):  
Nengcheng Chen ◽  
Yan Zhang ◽  
Wenying Du ◽  
Yingbing Li ◽  
Min Chen ◽  
...  

2021 ◽  
pp. 107272
Author(s):  
Pradeep Kumar Singh ◽  
Esam Othman ◽  
Rafeeq Ahmed ◽  
Awais Mahmood ◽  
Habib Dhahri ◽  
...  

Author(s):  
Ayush Bahuguna ◽  
Ankit Agrawal ◽  
Ashutosh Bhatia ◽  
Kamlesh Tiwari ◽  
Deepak Vishwakarma

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3717
Author(s):  
James C. Young ◽  
Rudy Arthur ◽  
Michelle Spruce ◽  
Hywel T. P. Williams

Heatwaves cause thousands of deaths every year, yet the social impacts of heat are poorly measured. Temperature alone is not sufficient to measure impacts and “heatwaves” are defined differently in different cities/countries. This study used data from the microblogging platform Twitter to detect different scales of response and varying attitudes to heatwaves within the United Kingdom (UK), the United States of America (US) and Australia. At the country scale, the volume of heat-related Twitter activity increased exponentially as temperature increased. The initial social reaction differed between countries, with a larger response to heatwaves elicited from the UK than from Australia, despite the comparatively milder conditions in the UK. Language analysis reveals that the UK user population typically responds with concern for individual wellbeing and discomfort, whereas Australian and US users typically focus on the environmental consequences. At the city scale, differing responses are seen in London, Sydney and New York on governmentally defined heatwave days; sentiment changes predictably in London and New York over a 24-h period, while sentiment is more constant in Sydney. This study shows that social media data can provide robust observations of public response to heat, suggesting that social sensing of heatwaves might be useful for preparedness and mitigation.


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