A probabilistic approach to spatiotemporal theme pattern mining on weblogs
Proceedings of the 15th international conference on World Wide Web
Towards automatic extraction of event and place semantics from flickr tags
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Spatial variation in search engine queries
Proceedings of the 17th international conference on World Wide Web
Proceedings of the 18th international conference on World wide web
A translation model for matching reviews to objects
Proceedings of the 18th ACM conference on Information and knowledge management
Matching reviews to objects using a language model
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
GeoFolk: latent spatial semantics in web 2.0 social media
Proceedings of the third ACM international conference on Web search and data mining
Find me if you can: improving geographical prediction with social and spatial proximity
Proceedings of the 19th international conference on World wide web
Annotating named entities in Twitter data with crowdsourcing
CSLDAMT '10 Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk
A latent variable model for geographic lexical variation
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Everyone's an influencer: quantifying influence on twitter
Proceedings of the fourth ACM international conference on Web search and data mining
Enhanced sentiment learning using Twitter hashtags and smileys
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Geographical topic discovery and comparison
Proceedings of the 20th international conference on World wide web
Proceedings of the 20th international conference on World wide web
Who says what to whom on twitter
Proceedings of the 20th international conference on World wide web
Simple supervised document geolocation with geodesic grids
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Linking named entities to any database
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Spatial influence vs. community influence: modeling the global spread of social media
Proceedings of the 21st ACM international conference on Information and knowledge management
@Phillies Tweeting from Philly? Predicting Twitter User Locations with Spatial Word Usage
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Linking named entities in Tweets with knowledge base via user interest modeling
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Spatio-temporal dynamics of online memes: a study of geo-tagged tweets
Proceedings of the 22nd international conference on World Wide Web
Spatio-temporal meme prediction: learning what hashtags will be popular where
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Despite their 140-character limitation, tweets embody a lot of valuable information, especially temporal and spatial. In this paper we study the geographic aspects of tweets, for a given object domain. We propose a user-level model for spatial encoding in tweets that goes beyond the explicit geo-coding or place name mentions; this model can be used to match objects to tweets. We illustrate our model and methodology using restaurants as the objects, and show a significant improvement in performance over using standard language models. En route, we obtain a method to geolocate users who tweet about geolocated objects; this may be of independent interest.