Learning Subjective Adjectives from Corpora
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
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
Neural Computation
Determining the sentiment of opinions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
What emotions do news articles trigger in their readers?
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Building emotion lexicon from weblog corpora
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Comparative experiments on sentiment classification for online product reviews
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
A new method for sentiment classification in text retrieval
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Ranking reader emotions using pairwise loss minimization and emotional distribution regression
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Multi-label Text Classification Approach for Sentence Level News Emotion Analysis
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Understanding a celebrity with his salient events
AMT'10 Proceedings of the 6th international conference on Active media technology
Improving a method for quantifying readers' impressions of news articles with a regression equation
WASSA '11 Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
A Bayesian modeling approach to multi-dimensional sentiment distributions prediction
Proceedings of the First International Workshop on Issues of Sentiment Discovery and Opinion Mining
Demonstration of IlluMe: creating ambient according to instant message logs
ACL '12 Proceedings of the ACL 2012 System Demonstrations
Sentiment topic models for social emotion mining
Information Sciences: an International Journal
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Past studies on emotion classification focus on the writer’s emotional state. This research addresses the reader aspect instead. The classification of documents into reader-emotion categories has several applications. One of them is to integrate reader-emotion classification into a web search engine to allow users to retrieve documents that contain relevant contents and at the same time instill proper emotions. In this paper, we automatically classify documents into reader-emotion categories, and examine classification performance under different feature settings. Experiments show that certain feature combinations achieve good accuracy. We also compare the best classifier’s classification results with the emotional distributions of documents to determine how closely the classifier models the underlying reader behavior. Finally, we investigate the feasibility of emotion ranking.