Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
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
Introduction to Information Retrieval
Introduction to Information Retrieval
Emotion classification using massive examples extracted from the web
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Ranking reader emotions using pairwise loss minimization and emotional distribution regression
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Construction of a blog emotion corpus for Chinese emotional expression analysis
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Determining the emotion of news articles
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
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Currently, more and more information are spreading on the web. These large amounts of information might influence web users' emotion quite a lot, for example, make people angry. Thus, it is important to analyze web textual content from the aspect of emotion. Although much former researches have been done, most of them focus on the emotion of authors but not readers. In this paper, we propose a novel method to predict readers' emotion based on content analysis. We develop an emotion dictionary with a selected weighting coefficient to build text vectors in Vector Space Model, and train Support Vector Machine and Naive Bayesian model for prediction. The experimental results indicate that our approach performs much better on precision, recall and F-value.