Extracting collective probabilistic forecasts from web games
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Information incorporation in online in-Game sports betting markets
Proceedings of the 4th ACM conference on Electronic commerce
Feature-rich part-of-speech tagging with a cyclic dependency network
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
NewsCATS: A News Categorization and Trading System
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
The weighted majority algorithm
SFCS '89 Proceedings of the 30th Annual Symposium on Foundations of Computer Science
Multilingual dependency analysis with a two-stage discriminative parser
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
Company-oriented extractive summarization of financial news
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Predicting risk from financial reports with regression
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Predicting the volume of comments on online news stories
Proceedings of the 18th ACM conference on Information and knowledge management
Topic-dependent sentiment analysis of financial blogs
Proceedings of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion
Efficient statement identification for automatic market forecasting
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Textual predictors of bill survival in congressional committees
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Detecting distressed and non-distressed affect states in short forum texts
LSM '12 Proceedings of the Second Workshop on Language in Social Media
Word salad: relating food prices and descriptions
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
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Media reporting shapes public opinion which can in turn influence events, particularly in political elections, in which candidates both respond to and shape public perception of their campaigns. We use computational linguistics to automatically predict the impact of news on public perception of political candidates. Our system uses daily newspaper articles to predict shifts in public opinion as reflected in prediction markets. We discuss various types of features designed for this problem. The news system improves market prediction over baseline market systems.