[HTML][HTML] Social media mining under the COVID-19 context: Progress, challenges, and opportunities
Social media platforms allow users worldwide to create and share information, forging vast
sensing networks that allow information on certain topics to be collected, stored, mined, and …
sensing networks that allow information on certain topics to be collected, stored, mined, and …
Improving social media use for disaster resilience: challenges and strategies
NSN Lam, M Meyer, M Reams, S Yang… - … Journal of Digital …, 2023 - Taylor & Francis
This paper develops a social media-disaster resilience analysis framework by categorizing
types of social media use and their challenges to better understand and assess its role in …
types of social media use and their challenges to better understand and assess its role in …
Pandemic outbreak time: Evaluation of public tweet opinion by machine learning
In this work, a Twitter data-set was utilized to do sentiment analysis of people's thoughts on
the corona-virus (COVID-19) period, which is a major concern throughout the world these …
the corona-virus (COVID-19) period, which is a major concern throughout the world these …
TopoBERT: a plug and play toponym recognition module harnessing fine-tuned BERT
Extracting precise geographical information from the textual content, referred to as toponym
recognition, is fundamental in geographical information retrieval and crucial in a plethora of …
recognition, is fundamental in geographical information retrieval and crucial in a plethora of …
Big Earth Data for quantitative measurement of community resilience: current challenges, progresses and future directions
Quantitative assessment of community resilience can provide support for hazard mitigation,
disaster risk reduction, disaster relief, and long-term sustainable development. Traditional …
disaster risk reduction, disaster relief, and long-term sustainable development. Traditional …
Sensing the pulse of the pandemic: unveiling the geographical and demographic disparities of public sentiment toward COVID-19 through social media
Social media offers a unique lens to observe large-scale, spatial-temporal patterns of users'
reactions toward critical events. However, social media use varies across demographics …
reactions toward critical events. However, social media use varies across demographics …
Algorithmic uncertainties in geolocating social media data for disaster management
The rapid development of information and communications technology has turned
individuals into sensors, fostering the growth of human-generated geospatial big data. In …
individuals into sensors, fostering the growth of human-generated geospatial big data. In …
Sensing the pulse of the pandemic: Geovisualizing the demographic disparities of public sentiment toward COVID-19 through social media
Social media offers a unique lens to observe large-scale, spatial-temporal patterns of users
reactions toward critical events. However, social media use varies across demographics …
reactions toward critical events. However, social media use varies across demographics …
A news picture geo-localization pipeline based on deep learning and street view images
T Chu, Y Chen, H Su, Z Xu, G Chen… - International Journal of …, 2022 - Taylor & Francis
Numerous news or event pictures are taken and shared on the internet every day that have
abundant information worth being mined, but only a small fraction of them are geotagged …
abundant information worth being mined, but only a small fraction of them are geotagged …
Modeling the impacts of governmental and human responses on COVID-19 spread using statistical machine learning
Understanding the impacts of governmental and human responses on the pandemic control
is imperative for forecasting pandemic spread under various responsive scenarios and …
is imperative for forecasting pandemic spread under various responsive scenarios and …