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Object matching in tweets with spatial models
2 references·11 citing·33 second hop
Object matching in tweets with spatial models (2012)Object matching in tweets with spatial mo…Find me if you can (2010)Find me if you canMapping the world's photos (2009)Mapping the world's photosEnd-to-End Neural Matching for Semantic Location Prediction of Tweets (2020)End-to-End Neural Matching fo…Twitter user geolocation using web country noun searches (2019)Twitter user geolocation usin…Machine learning and points of interest: typical tourist Italian cities (2019)Machine learning and points o…Identifying On-Site Users for Social Events: Mobility, Content, and Social Relationship (2018)Identifying On-Site Users for…Finding and Tracking Local Twitter Users for News Detection (2017)Finding and Tracking Local Tw…Enabling Semantic User Context to Enhance Twitter Location Prediction (2016)Enabling Semantic User Contex…Annotating Points of Interest with Geo-tagged Tweets (2016)Annotating Points of Interest…Predicting the location of users on Twitter from low density graphs (2015)Predicting the location of us…Estimation of User Location and Local Topics Based on Geo-tagged Text Data on Social Media (2015)Estimation of User Location a…Accurate Local Estimation of Geo-Coordinates for Social Media Posts (2014)Accurate Local Estimation of …Location Type Classification Using Tweet Content (2012)Location Type Classification …You are where you tweet (2010)Mining location information from users' spatio-temporal data (2017)The Effect of Twitter App Policy Changes on the Sharing of Spatial Information through Twitter Users (2022)The end of geography or the explosion of place? Conceptualizing space, place and information technology (1998)Human mobility: Models and applications (2018)Finding your friends and following them to where you are (2012)Friendship and mobility (2011)Discovering geographical topics in the twitter stream (2012)Towards the Inference of Travel Purpose with Heterogeneous Urban Data (2019)Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces (2021)Does Distance Matter in the Age of the Internet? (2010)TEDAS: A Twitter-based Event Detection and Analysis System (2012)Inferring friendship network structure by using mobile phone data (2009)A survey of location-based social networks: problems, methods, and future research directions (2021)CP-Link: Exploiting Continuous Spatio-Temporal Check-In Patterns for User Identity Linkage (2022)CrowdTelescope: Wi-Fi-positioning-based multi-grained spatiotemporal crowd flow prediction for smart campus (2022)Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment (2010)Predicting the Present with Google Trends (2012)A Google Trends spatial clustering approach for a worldwide Twitter user geolocation (2020)Multiple-Aspect Attentional Graph Neural Networks for Online Social Network User Localization (2020)Identifying user geolocation with Hierarchical Graph Neural Networks and explainable fusion (2021)Urban Residents’ Attitudes toward Tourism Development: The Case of Crete (2003)Role of social media in online travel information search (2009)The Role of Big Data and Predictive Analytics in Retailing (2017)Geopolitical risk and tourism: Evidence from dynamic heterogeneous panel models (2020)A systematic literature review on the use of big data for sustainable tourism (2021)Tracking tourist mobility in the big data era: insights from data, theory, and future directions (2024)"I'm eating a sandwich in Glasgow" (2011)Towards social user profiling (2012)A Survey of Location Prediction on Twitter (2018)A Transformer-Based Framework for POI-Level Social Post Geolocation (2023)Research and Modeling of Commercial Location Selection Based on Geographic Big Data and Mobile Signaling Data—A Case Study of the Central Urban Area of Beijing (2024)Measuring human perceptions of a large-scale urban region using machine learning (2018)
this work references cited by second hop

References

  • 2009Mapping the world's photos782 cited
  • 2010Find me if you can705 cited

Cited by

  • 2019Machine learning and points of interest: typical tourist Italian cities63 cited
  • 2019Twitter user geolocation using web country noun searches43 cited
  • 2018Identifying On-Site Users for Social Events: Mobility, Content, and Social Relationship38 cited
  • 2016Annotating Points of Interest with Geo-tagged Tweets20 cited
  • 2012Location Type Classification Using Tweet Content18 cited
  • 2017Finding and Tracking Local Twitter Users for News Detection17 cited
  • 2020End-to-End Neural Matching for Semantic Location Prediction of Tweets12 cited
  • 2015Predicting the location of users on Twitter from low density graphs6 cited
  • 2015Estimation of User Location and Local Topics Based on Geo-tagged Text Data on Social Media6 cited
  • 2016Enabling Semantic User Context to Enhance Twitter Location Prediction6 cited
  • 2014Accurate Local Estimation of Geo-Coordinates for Social Media Posts5 cited

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