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Information Extraction and Visualization from Twitter Considering Spatial Structure
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Information Extraction and Visualization from Twitter Considering Spatial Structure (2017)Information Extraction and Visualization …A Multi-Indicator Approach for Geolocalization of Tweets (2021)A Multi-Indicator Approach fo…From where do tweets originate? (2014)From where do tweets originat…Discovering geographical topics in the twitter stream (2012)Discovering geographical topi…The where in the tweet (2011)The where in the tweetGeo‐parsing Messages from Microtext (2011)Geo‐parsing Messages from Mic…Advances in Geocoding Research and Practice (2011)Advances in Geocoding Researc…"I'm eating a sandwich in Glasgow" (2011)"I'm eating a sandwich in Gla…You are where you tweet (2010)You are where you tweetAnimation of Mapped Photo Collections for Storytelling (2008)Animation of Mapped Photo Col…Microblogging during two natural hazards events (2010)Information credibility on twitter (2011)Public microblogging on climate change: One year of Twitter worldwide (2014)Processing Social Media Messages in Mass Emergency (2015)Big data and disaster management: a systematic review and agenda for future research (2017)Mapping the world's photos (2009)Exploiting innocuous activity for correlating users across sites (2013)A Tale of Cities: Urban Biases in Volunteered Geographic Information (2014)A Survey of Location Prediction on Twitter (2018)An Empirical Study of Geographic User Activity Patterns in Foursquare (2021)Placing flickr photos on a map (2009)Find me if you can (2010)Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose (2021)Friendship and mobility (2011)Social-media data for urban sustainability (2018)Exploring Millions of Footprints in Location Sharing Services (2021)Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment (2010)Tweets from Justin Bieber's heart (2011)Event classification and location prediction from tweets during disasters (2017)Mining User Mobility Features for Next Place Prediction in Location-Based Services (2012)Activity patterns, socioeconomic status and urban spatial structure: what can social media data tell us? (2016)Explore spatiotemporal and demographic characteristics of human mobility via Twitter: A case study of Chicago (2016)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)A Spatiotemporal Analysis of Brazilian Science from the Perspective of Researchers’ Career Trajectories (2015)What3Words Geocoding Extensions (2018)Recognition Method of New Address Elements in Chinese Address Matching Based on Deep Learning (2020)Who, where, when and what (2013)Home Location Identification of Twitter Users (2014)A User Study of a Map-Based Slideshow Editor (2011)Frame Extraction Based on Displacement Amount for Automatic Comic Generation from Metaverse Museum Visit Log (2011)
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References

  • 2010You are where you tweet1,092 cited
  • 2012Discovering geographical topics in the twitter stream382 cited
  • 2011"I'm eating a sandwich in Glasgow"238 cited
  • 2021A Multi-Indicator Approach for Geolocalization of Tweets159 cited
  • 2011Geo‐parsing Messages from Microtext131 cited
  • 2011The where in the tweet92 cited
  • 2011Advances in Geocoding Research and Practice34 cited
  • 2014From where do tweets originate?32 cited
  • 2008Animation of Mapped Photo Collections for Storytelling12 cited

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