A Survey of Location Prediction on Twitter
暂无分享,去创建一个
Aixin Sun | Jialong Han | Xin Zheng | Aixin Sun | Xin Zheng | Jialong Han
[1] James Caverlee,et al. Who is the barbecue king of texas?: a geo-spatial approach to finding local experts on twitter , 2014, SIGIR.
[2] John D. Lafferty,et al. A study of smoothing methods for language models applied to Ad Hoc information retrieval , 2001, SIGIR '01.
[3] Timothy Baldwin,et al. A Neural Model for User Geolocation and Lexical Dialectology , 2017, ACL.
[4] Abeer El-Korany,et al. Enabling Semantic User Context to Enhance Twitter Location Prediction , 2016, ICAART.
[5] Ee-Peng Lim,et al. Tweet Geolocation: Leveraging Location, User and Peer Signals , 2017, CIKM.
[6] Ian H. Witten,et al. Learning to link with wikipedia , 2008, CIKM '08.
[7] Aron Culotta,et al. Inferring the origin locations of tweets with quantitative confidence , 2013, CSCW.
[8] Dongwon Lee,et al. @Phillies Tweeting from Philly? Predicting Twitter User Locations with Spatial Word Usage , 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.
[9] Jiawei Han,et al. Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions , 2015, IEEE Transactions on Knowledge and Data Engineering.
[10] Chao Zhang,et al. SERM: A Recurrent Model for Next Location Prediction in Semantic Trajectories , 2017, CIKM.
[11] Allison Woodruff,et al. GIPSY: Automated Geographic Indexing of Text Documents , 1994, J. Am. Soc. Inf. Sci..
[12] Gueorgi Kossinets,et al. Empirical Analysis of an Evolving Social Network , 2006, Science.
[13] Ganesh Ramakrishnan,et al. Collective annotation of Wikipedia entities in web text , 2009, KDD.
[14] Oren Etzioni,et al. Named Entity Recognition in Tweets: An Experimental Study , 2011, EMNLP.
[15] Zhi Liu,et al. SPOT: Locating Social Media Users Based on Social Network Context , 2014, Proc. VLDB Endow..
[16] Kalina Bontcheva,et al. Where's @wally?: a classification approach to geolocating users based on their social ties , 2013, HT.
[17] Eiji Aramaki,et al. Density Estimation for Geolocation via Convolutional Mixture Density Network , 2017, ArXiv.
[18] Silviu Cucerzan,et al. Large-Scale Named Entity Disambiguation Based on Wikipedia Data , 2007, EMNLP.
[19] Jun Zhao,et al. Collective entity linking in web text: a graph-based method , 2011, SIGIR.
[20] James Caverlee,et al. Location prediction in social media based on tie strength , 2013, CIKM.
[21] Judith Gelernter,et al. Cross-lingual geo-parsing for non-structured data , 2013, GIR '13.
[22] Jon M. Kleinberg,et al. Spatial variation in search engine queries , 2008, WWW.
[23] Ron Sivan,et al. Web-a-where: geotagging web content , 2004, SIGIR '04.
[24] Eric P. Xing,et al. Sparse Additive Generative Models of Text , 2011, ICML.
[25] J. Lafferty,et al. A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval , 2001, SIGIR Forum.
[26] Gisele L. Pappa,et al. Inferring the Location of Twitter Messages Based on User Relationships , 2011, Trans. GIS.
[27] M. McPherson,et al. Birds of a Feather: Homophily in Social Networks , 2001 .
[28] Gao Cong,et al. Annotating Points of Interest with Geo-tagged Tweets , 2016, CIKM.
[29] Mudhakar Srivatsa,et al. When twitter meets foursquare: tweet location prediction using foursquare , 2014, MobiQuitous.
[30] Raphaël Troncy,et al. Analysis of named entity recognition and linking for tweets , 2014, Inf. Process. Manag..
[31] Jun Hu,et al. Effective location identification from microblogs , 2014, 2014 IEEE 30th International Conference on Data Engineering.
[32] Philip S. Yu,et al. Inferring crowd-sourced venues for tweets , 2015, 2015 IEEE International Conference on Big Data (Big Data).
[33] Zoubin Ghahramani,et al. Learning from labeled and unlabeled data with label propagation , 2002 .
[34] Cecilia Mascolo,et al. Mining User Mobility Features for Next Place Prediction in Location-Based Services , 2012, 2012 IEEE 12th International Conference on Data Mining.
[35] Bruno Martins,et al. Automated Geocoding of Textual Documents: A Survey of Current Approaches , 2017, Trans. GIS.
[36] W. Bruce Croft,et al. A Language Modeling Approach to Information Retrieval , 1998, SIGIR Forum.
[37] Peng Zhang,et al. Estimating the Locations of Emergency Events from Twitter Streams , 2014, ITQM.
[38] Stephen Clark,et al. Joint Word Segmentation and POS Tagging Using a Single Perceptron , 2008, ACL.
[39] Derek Ruths,et al. Geolocation Prediction in Twitter Using Social Networks: A Critical Analysis and Review of Current Practice , 2015, ICWSM.
[40] Kyumin Lee,et al. Exploring Millions of Footprints in Location Sharing Services , 2011, ICWSM.
[41] Sanjoy Kumar Saha,et al. Named Entity Recognition from Tweets , 2014, LWA.
[42] Chong Wang,et al. Mining geographic knowledge using location aware topic model , 2007, GIR '07.
[43] Robert L. Mercer,et al. Class-Based n-gram Models of Natural Language , 1992, CL.
[44] Jure Leskovec,et al. Friendship and mobility: user movement in location-based social networks , 2011, KDD.
[45] Ian H. Witten,et al. An effective, low-cost measure of semantic relatedness obtained from Wikipedia links , 2008 .
[46] Brendan T. O'Connor,et al. A Latent Variable Model for Geographic Lexical Variation , 2010, EMNLP.
[47] Hanan Samet,et al. Geotagging with local lexicons to build indexes for textually-specified spatial data , 2010, 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010).
[48] Steven Schockaert,et al. Spatially Aware Term Selection for Geotagging , 2014, IEEE Transactions on Knowledge and Data Engineering.
[49] Kai Zheng,et al. Microblog Entity Linking with Social Temporal Context , 2015, SIGMOD Conference.
[50] Huan Liu,et al. Content-Aware Point of Interest Recommendation on Location-Based Social Networks , 2015, AAAI.
[51] Timothy W. Finin,et al. Why We Twitter: An Analysis of a Microblogging Community , 2009, WebKDD/SNA-KDD.
[52] Satoshi Sekine,et al. A survey of named entity recognition and classification , 2007 .
[53] Alex A. Freitas,et al. A survey of hierarchical classification across different application domains , 2010, Data Mining and Knowledge Discovery.
[54] Yan Huang,et al. Where are You Tweeting?: A Context and User Movement Based Approach , 2016, CIKM.
[55] Jennifer Widom,et al. Scaling personalized web search , 2003, WWW '03.
[56] Timothy Baldwin,et al. Text-Based Twitter User Geolocation Prediction , 2014, J. Artif. Intell. Res..
[57] Gao Cong,et al. Joint Recognition and Linking of Fine-Grained Locations from Tweets , 2016, WWW.
[58] Chris Callison-Burch,et al. Creating Speech and Language Data With Amazon’s Mechanical Turk , 2010, Mturk@HLT-NAACL.
[59] Ming-Wei Chang,et al. Entity Linking on Microblogs with Spatial and Temporal Signals , 2014, TACL.
[60] James Caverlee,et al. A geographic study of tie strength in social media , 2011, CIKM '11.
[61] Lars Backstrom,et al. Find me if you can: improving geographical prediction with social and spatial proximity , 2010, WWW '10.
[62] Ed H. Chi,et al. Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles , 2011, CHI.
[63] Zhu Wang,et al. A sentiment-enhanced personalized location recommendation system , 2013, HT.
[64] Timothy Baldwin,et al. Geolocation Prediction in Social Media Data by Finding Location Indicative Words , 2012, COLING.
[65] Nando de Freitas,et al. An Introduction to MCMC for Machine Learning , 2004, Machine Learning.
[66] Cecilia Mascolo,et al. The Length of Bridge Ties: Structural and Geographic Properties of Online Social Interactions , 2012, ICWSM.
[67] Jason Baldridge,et al. Simple supervised document geolocation with geodesic grids , 2011, ACL.
[68] Bu-Sung Lee,et al. TwiNER: named entity recognition in targeted twitter stream , 2012, SIGIR '12.
[69] Mans Hulden,et al. Kernel Density Estimation for Text-Based Geolocation , 2015, AAAI.
[70] Ross Purves,et al. Twitter location (sometimes) matters: Exploring the relationship between georeferenced tweet content and nearby feature classes , 2014, J. Spatial Inf. Sci..
[71] Jason Baldridge,et al. Supervised Text-based Geolocation Using Language Models on an Adaptive Grid , 2012, EMNLP.
[72] Mor Naaman,et al. On the Accuracy of Hyper-local Geotagging of Social Media Content , 2014, WSDM.
[73] Ming-Wei Chang,et al. To Link or Not to Link? A Study on End-to-End Tweet Entity Linking , 2013, NAACL.
[74] Mohamed F. Mokbel,et al. Recommendations in location-based social networks: a survey , 2015, GeoInformatica.
[75] Gisele L. Pappa,et al. Exploring Multiple Evidences to Infer Users Location in Twitter , 2014 .
[76] Xiaoming Zhang,et al. From Interest to Function: Location Estimation in Social Media , 2013, AAAI.
[77] Timothy Baldwin,et al. Twitter User Geolocation Using a Unified Text and Network Prediction Model , 2015, ACL.
[78] Satish V. Ukkusuri,et al. Understanding urban human activity and mobility patterns using large-scale location-based data from online social media , 2013, UrbComp '13.
[79] Tomoki Taniguchi,et al. A Simple Scalable Neural Networks based Model for Geolocation Prediction in Twitter , 2016, NUT@COLING.
[80] Timothy Baldwin,et al. Exploiting Text and Network Context for Geolocation of Social Media Users , 2015, NAACL.
[81] Michael R. Lyu,et al. Where You Like to Go Next: Successive Point-of-Interest Recommendation , 2013, IJCAI.
[82] P. J. Green,et al. Density Estimation for Statistics and Data Analysis , 1987 .
[83] Timothy Baldwin,et al. A Stacking-based Approach to Twitter User Geolocation Prediction , 2013, ACL.
[84] Huan Liu,et al. Exploring Social-Historical Ties on Location-Based Social Networks , 2012, ICWSM.
[85] Alexander J. Smola,et al. Discovering geographical topics in the twitter stream , 2012, WWW.
[86] Huan Liu,et al. gSCorr: modeling geo-social correlations for new check-ins on location-based social networks , 2012, CIKM.
[87] Jason Baldridge,et al. Hierarchical Discriminative Classification for Text-Based Geolocation , 2014, EMNLP.
[88] Mao Ye,et al. Location recommendation for location-based social networks , 2010, GIS '10.
[89] Cecilia Mascolo,et al. Socio-Spatial Properties of Online Location-Based Social Networks , 2011, ICWSM.
[90] Ravi Kumar,et al. Object matching in tweets with spatial models , 2012, WSDM '12.
[91] Huan Liu,et al. Personalized location recommendation on location-based social networks , 2014, RecSys '14.
[92] Carlo Ratti,et al. Geo-located Twitter as proxy for global mobility patterns , 2013, Cartography and geographic information science.
[93] Huiji Gao. Personalized POI Recommendation on Location-Based Social Networks , 2014 .
[94] Gao Cong,et al. An Experimental Evaluation of Point-of-interest Recommendation in Location-based Social Networks , 2017, Proc. VLDB Endow..
[95] H. T. Kung,et al. Twitter Geolocation and Regional Classification via Sparse Coding , 2015, ICWSM.
[96] Chenliang Li,et al. Extracting fine‐grained location with temporal awareness in tweets: A two‐stage approach , 2017, J. Assoc. Inf. Sci. Technol..
[97] Tomoki Taniguchi,et al. Unifying Text, Metadata, and User Network Representations with a Neural Network for Geolocation Prediction , 2017, ACL.
[98] Max Mühlhäuser,et al. A Multi-Indicator Approach for Geolocalization of Tweets , 2013, ICWSM.
[99] Shervin Malmasi,et al. Location Mention Detection in Tweets and Microblogs , 2015, PACLING.
[100] Ee-Peng Lim,et al. Exploiting Contextual Information for Fine-Grained Tweet Geolocation , 2017, ICWSM.
[101] Bernard W. Silverman,et al. Density Estimation for Statistics and Data Analysis , 1987 .
[102] Judith Gelernter,et al. Geo‐parsing Messages from Microtext , 2011, Trans. GIS.
[103] Henry A. Kautz,et al. Finding your friends and following them to where you are , 2012, WSDM '12.
[104] Kyumin Lee,et al. A content-driven framework for geolocating microblog users , 2013, TIST.
[105] Chao Liu,et al. A probabilistic approach to spatiotemporal theme pattern mining on weblogs , 2006, WWW '06.
[106] Martha Larson,et al. The where in the tweet , 2011, CIKM '11.
[107] Weiru Liu,et al. A survey of location inference techniques on Twitter , 2015, J. Inf. Sci..
[108] Jeffrey Nichols,et al. Home Location Identification of Twitter Users , 2014, TIST.
[109] Timothy Baldwin,et al. Automatic Identification of Locative Expressions from Social Media Text: A Comparative Analysis , 2014, LocWeb '14.
[110] Hui Xiong,et al. Learning geographical preferences for point-of-interest recommendation , 2013, KDD.
[111] Rui Wang,et al. Towards social user profiling: unified and discriminative influence model for inferring home locations , 2012, KDD.
[112] Scott A. Hale,et al. Where in the World Are You? Geolocation and Language Identification in Twitter* , 2013, ArXiv.
[113] Dan Roth,et al. Design Challenges and Misconceptions in Named Entity Recognition , 2009, CoNLL.
[114] Hiroyuki Kitagawa,et al. Online User Location Inference Exploiting Spatiotemporal Correlations in Social Streams , 2014, CIKM.
[115] Timothy Baldwin,et al. Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks , 2017, EMNLP.
[116] Jie Yin,et al. Location extraction from disaster-related microblogs , 2013, WWW.
[117] Hiroyuki Kitagawa,et al. Landmark-based user location inference in social media , 2013, COSN '13.
[118] Mark Dredze,et al. Geolocation for Twitter: Timing Matters , 2016, NAACL.
[119] I. Good. THE POPULATION FREQUENCIES OF SPECIES AND THE ESTIMATION OF POPULATION PARAMETERS , 1953 .
[120] Hosung Park,et al. What is Twitter, a social network or a news media? , 2010, WWW '10.
[121] Rui Li,et al. Multiple Location Profiling for Users and Relationships from Social Network and Content , 2012, Proc. VLDB Endow..
[122] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[123] Marios D. Dikaiakos,et al. Identification of key locations based on online social network activity , 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
[124] Dan Wu,et al. On assigning place names to geography related web pages , 2005, Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '05).
[125] Ming Zhou,et al. Recognizing Named Entities in Tweets , 2011, ACL.
[126] Wei Shen,et al. Linking named entities in Tweets with knowledge base via user interest modeling , 2013, KDD.
[127] Barbara Plank,et al. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies , 2011 .
[128] Stan Z. Li,et al. Markov Random Field Modeling in Image Analysis , 2001, Computer Science Workbench.
[129] Michael R. Lyu,et al. A Survey of Point-of-interest Recommendation in Location-based Social Networks , 2016, ArXiv.
[130] Chenliang Li,et al. Fine-grained location extraction from tweets with temporal awareness , 2014, SIGIR.
[131] Jeffrey Nichols,et al. Where Is This Tweet From? Inferring Home Locations of Twitter Users , 2012, ICWSM.
[132] Sue Moon,et al. Inferring Twitter user locations with 10 km accuracy , 2014, WWW.
[133] Sarah Vieweg,et al. Processing Social Media Messages in Mass Emergency , 2014, ACM Comput. Surv..
[134] Kalina Bontcheva,et al. Hyperlocal Home Location Identification of Twitter Profiles , 2017, HT.
[135] Judith Gelernter,et al. Geocoding location expressions in Twitter messages: A preference learning method , 2014, J. Spatial Inf. Sci..
[136] F ChenStanley,et al. An Empirical Study of Smoothing Techniques for Language Modeling , 1996, ACL.
[137] Wen-Ning Kuo,et al. Urban point-of-interest recommendation by mining user check-in behaviors , 2012, UrbComp '12.
[138] Rada Mihalcea,et al. Wikify!: linking documents to encyclopedic knowledge , 2007, CIKM '07.
[139] Gerhard Weikum,et al. Robust Disambiguation of Named Entities in Text , 2011, EMNLP.
[140] Hui Xiong,et al. Point-of-Interest Recommendation in Location Based Social Networks with Topic and Location Awareness , 2013, SDM.
[141] Chandan K. Reddy,et al. Location-specific tweet detection and topic summarization in Twitter , 2013, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013).
[142] Thomas Hofmann,et al. Large Margin Methods for Structured and Interdependent Output Variables , 2005, J. Mach. Learn. Res..
[143] Peter Richtárik,et al. Parallel coordinate descent methods for big data optimization , 2012, Mathematical Programming.
[144] Judith Gelernter,et al. An algorithm for local geoparsing of microtext , 2013, GeoInformatica.
[145] Xiao Zhang,et al. SensePlace2: GeoTwitter analytics support for situational awareness , 2011, 2011 IEEE Conference on Visual Analytics Science and Technology (VAST).
[146] Kyumin Lee,et al. You are where you tweet: a content-based approach to geo-locating twitter users , 2010, CIKM.
[147] Zhe Jiang,et al. Spatial Statistics , 2013 .
[148] Mark Dredze,et al. Annotating Named Entities in Twitter Data with Crowdsourcing , 2010, Mturk@HLT-NAACL.
[149] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[150] Ramanathan V. Guha,et al. SemTag and seeker: bootstrapping the semantic web via automated semantic annotation , 2003, WWW '03.
[151] David Allen,et al. Geotagging one hundred million Twitter accounts with total variation minimization , 2014, 2014 IEEE International Conference on Big Data (Big Data).
[152] Sheila Kinsella,et al. "I'm eating a sandwich in Glasgow": modeling locations with tweets , 2011, SMUC '11.
[153] Nadia Magnenat-Thalmann,et al. Who, where, when and what: discover spatio-temporal topics for twitter users , 2013, KDD.
[154] David Jurgens,et al. That's What Friends Are For: Inferring Location in Online Social Media Platforms Based on Social Relationships , 2013, ICWSM.
[155] Adam Jatowt,et al. Portraying Collective Spatial Attention in Twitter , 2015, KDD.
[156] Hongfei Lin,et al. Where Are You Settling Down: Geo-locating Twitter Users Based on Tweets and Social Networks , 2012, AIRS.