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Geolocation Prediction in Social Media Data by Finding Location Indicative Words
Bo Han
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Paul Cook
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Timothy Baldwin
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Paper Details:
Month: December
Year: 2012
Location: Mumbai, India
Venue:
COLING |
Citations
URL
Hierarchical Discriminative Classification for Text-Based Geolocation
Benjamin Wing
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Jason Baldridge
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Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks
Afshin Rahimi
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Timothy Baldwin
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Trevor Cohn
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The Language of Place: Semantic Value from Geospatial Context
Anne Cocos
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Chris Callison-Burch
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End-to-end Network for Twitter Geolocation Prediction and Hashing
Jey Han Lau
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Lianhua Chi
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Khoi-Nguyen Tran
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Trevor Cohn
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A Unified Neural Network Model for Geolocating Twitter Users
Mohammad Ebrahimi
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Elaheh ShafieiBavani
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Raymond Wong
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Fang Chen
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Visualization of the occurrence trend of infectious diseases using Twitter
Ryusei Matsumoto
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Minoru Yoshida
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Kazuyuki Matsumoto
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Hironobu Matsuda
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Kenji Kita
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Exploiting Text and Network Context for Geolocation of Social Media Users
Afshin Rahimi
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Duy Vu
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Trevor Cohn
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Timothy Baldwin
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Twitter User Geolocation Using a Unified Text and Network Prediction Model
Afshin Rahimi
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Trevor Cohn
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Timothy Baldwin
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pigeo: A Python Geotagging Tool
Afshin Rahimi
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Trevor Cohn
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Timothy Baldwin
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Unifying Text, Metadata, and User Network Representations with a Neural Network for Geolocation Prediction
Yasuhide Miura
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Motoki Taniguchi
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Tomoki Taniguchi
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Tomoko Ohkuma
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A Neural Model for User Geolocation and Lexical Dialectology
Afshin Rahimi
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Trevor Cohn
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Timothy Baldwin
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Which Melbourne? Augmenting Geocoding with Maps
Milan Gritta
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Mohammad Taher Pilehvar
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Nigel Collier
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Semi-supervised User Geolocation via Graph Convolutional Networks
Afshin Rahimi
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Trevor Cohn
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Timothy Baldwin
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Syndromic Surveillance using Generic Medical Entities on Twitter
Pin Huang
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Andrew MacKinlay
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Antonio Jimeno Yepes
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Location Name Disambiguation Exploiting Spatial Proximity and Temporal Consistency
Takashi Awamura
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Daisuke Kawahara
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Eiji ARAMAKI
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Tomohide Shibata
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Sadao Kurohashi
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Twitter Geolocation Prediction Shared Task of the 2016 Workshop on Noisy User-generated Text
Bo Han
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Afshin Rahimi
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Leon Derczynski
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Timothy Baldwin
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Geolocation Prediction in Twitter Using Location Indicative Words and Textual Features
Lianhua Chi
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Kwan Hui Lim
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Nebula Alam
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Christopher J. Butler
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Evaluating hypotheses in geolocation on a very large sample of Twitter
Bahar Salehi
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Anders Søgaard
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Huntsville, hospitals, and hockey teams: Names can reveal your location
Bahar Salehi
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Dirk Hovy
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Eduard Hovy
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Anders Søgaard
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Twitter Geolocation using Knowledge-Based Methods
Taro Miyazaki
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Afshin Rahimi
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Trevor Cohn
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Timothy Baldwin
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http://www.csse.unimelb.edu.au/~tim/etc/coling2012-geo.tgz
http://www.geonames.org
https://dev.twitter.com/docs/streaming-apis
http://dare.wisc.edu/
https://github.com/lzhang10/maxent
http://developer.yahoo.com/geo/placemaker/
Field Of Study
Task
Language Identification
Named Entity Recognition
Information Retrieval
Summarization
Text Categorization
Language
Multilingual
English
Japanese
Spanish
Dataset
Social Media
Twitter
Query Logs
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