Polarity-based sentiment analysis of georeferenced tweets related to the 2022 twitter acquisition
Twitter, one of the most important social media platforms, has been in the headlines
regularly since its acquisition by Elon Musk in October 2022. This acquisition has had a …
regularly since its acquisition by Elon Musk in October 2022. This acquisition has had a …
Drowning in the Information Flood: Machine-Learning-Based Relevance Classification of Flood-Related Tweets for Disaster Management
In the early stages of a disaster caused by a natural hazard (eg, flood), the amount of
available and useful information is low. To fill this informational gap, emergency responders …
available and useful information is low. To fill this informational gap, emergency responders …
The migrant perspective: Measuring migrants' movements and interests using geolocated tweets
J Mast, M Sapena, M Mühlbauer… - … , Space and Place, 2024 - Wiley Online Library
Geolocated social media data hold a hitherto untapped potential for exploring the
relationship between user mobility and their interests at a large scale. Using geolocated …
relationship between user mobility and their interests at a large scale. Using geolocated …
Commuter mobility patterns in social media: Correlating Twitter and LODES data
The Longitudinal Employer-Household Dynamics Origin-Destination Employment Statistics
(LODES) are an important city planning resource in the USA. However, curating these …
(LODES) are an important city planning resource in the USA. However, curating these …
[HTML][HTML] Spatio-temporal machine learning analysis of social media data and refugee movement statistics
In 2015, within the timespan of only a few months, more than a million people made their
way from Turkey to Central Europe in the wake of the Syrian civil war. At the time, public …
way from Turkey to Central Europe in the wake of the Syrian civil war. At the time, public …
Big Data for the Prediction of Forced Displacement
G Henningsen - International Migration Review, 2023 - journals.sagepub.com
In a world where every 80th person is now forcibly displaced, using big data sources to
improve planning processes is no longer a question of if, but a question of how. In recent …
improve planning processes is no longer a question of if, but a question of how. In recent …
Evaluating the Representativeness of Socio-Demographic Variables over Time for Geo-Social Media Data
Geo-social media data are widely used as a data source to model populations and
processes in a variety of contexts. However, if the data do not adequately represent the …
processes in a variety of contexts. However, if the data do not adequately represent the …
[PDF][PDF] Polarity-Based Sentiment Analysis of Georeferenced Tweets Related to the 2022 Twitter Acquisition. Information 2023, 14, 71
Twitter, one of the most important social media platforms, has been in the headlines
regularly since its acquisition by Elon Musk in October 2022. This acquisition has had a …
regularly since its acquisition by Elon Musk in October 2022. This acquisition has had a …
Border Walls and Death on the US–Mexico Border: A Hot-Spot Analysis of the Impact of the Secure Fences Act in Arizona
Analyzing border deaths: The authors spatially analyze the locations of migrant deaths both
before and after the Secure Fence Act of 2006 (SFA) and find a substantial increase in …
before and after the Secure Fence Act of 2006 (SFA) and find a substantial increase in …
Comparing Twitter and LODES Data for Detecting Commuter Mobility Patterns
Local and regional planners struggle to keep up with rapid changes in mobility patterns. This
exploratory research is framed with the overarching goal of asking if and how geo-social …
exploratory research is framed with the overarching goal of asking if and how geo-social …