Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Efficient processing of window queries in the pyramid data structure
PODS '90 Proceedings of the ninth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Machine Learning
Use of the SAND spatial browser for digital government applications
Communications of the ACM
Web-a-where: geotagging web content
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Robust temporal processing of news
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
From temporal expressions to temporal information: semantic tagging of news messages
TASIP '01 Proceedings of the workshop on Temporal and spatial information processing - Volume 13
A confidence-based framework for disambiguating geographic terms
HLT-NAACL-GEOREF '03 Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references - Volume 1
Geospatial Anchoring of Encyclopedia Articles
IV '06 Proceedings of the conference on Information Visualization
Disambiguating toponyms in news
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
STEWARD: architecture of a spatio-textual search engine
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Learning the past tense of English verbs: the symbolic pattern associator vs. connectionist models
Journal of Artificial Intelligence Research
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Geotagging: using proximity, sibling, and prominence clues to understand comma groups
Proceedings of the 6th Workshop on Geographic Information Retrieval
Determining the spatial reader scopes of news sources using local lexicons
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Adapting a map query interface for a gesturing touch screen interface
Proceedings of the 20th international conference companion on World wide web
Multifaceted toponym recognition for streaming news
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Trending Twitter topics in English: An international comparison
Journal of the American Society for Information Science and Technology
Detection, classification and visualization of place-triggered geotagged tweets
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Towards context-aware search and analysis on social media data
Proceedings of the 16th International Conference on Extending Database Technology
Voices of victory: a computational focus group framework for tracking opinion shift in real time
Proceedings of the 22nd international conference on World Wide Web
PhotoStand: a map query interface for a database of news photos
Proceedings of the VLDB Endowment
Seeder finder: identifying additional needles in the Twitter haystack
Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
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Twitter presents a source of information that cannot easily be obtained anywhere else. However, though many posts on Twitter reveal up-to-the-minute information about events in the world or interesting sentiments, far more posts are of no interest to the general audience. A method to determine which Twitter users are posting reliable information and which posts are interesting is presented. Using this information a search through a large, online news corpus is conducted to discover future events before they occur along with information about the location of the event. These events can be identified with a high degree of accuracy by verifying that an event found in one news article is found in other similar news articles, since any event interesting to a general audience will likely have more than one news story written about it. Twitter posts near the time of the event can then be identified as interesting if they match the event in terms of keywords or location. This method enables the discovery of interesting posts about current and future events and helps in the identification of reliable users.