Enriching the knowledge sources used in a maximum entropy part-of-speech tagger
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
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
Improving Movie Gross Prediction through News Analysis
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Predicting box-office success of motion pictures with neural networks
Expert Systems with Applications: An International Journal
A latent variable model for geographic lexical variation
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Predicting a scientific community's response to an article
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Predicting IMDB movie ratings using social media
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
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
Learning to Predict the Future using Web Knowledge and Dynamics
ACM SIGIR Forum
Mining the web to predict future events
Proceedings of the sixth ACM international conference on Web search and data mining
Learning to predict from textual data
Journal of Artificial Intelligence Research
Why people hate your app: making sense of user feedback in a mobile app store
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Cross-media sentiment classification and application to box-office forecasting
Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
Prediction of movies box office performance using social media
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
The impact of social and conventional media on firm equity value: A sentiment analysis approach
Decision Support Systems
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We consider the problem of predicting a movie's opening weekend revenue. Previous work on this problem has used metadata about a movie---e.g., its genre, MPAA rating, and cast---with very limited work making use of text about the movie. In this paper, we use the text of film critics' reviews from several sources to predict opening weekend revenue. We describe a new dataset pairing movie reviews with metadata and revenue data, and show that review text can substitute for metadata, and even improve over it, for prediction.