Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Measuring praise and criticism: Inference of semantic orientation from association
ACM Transactions on Information Systems (TOIS)
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Proceedings of the 2008 ACM workshop on Search in social media
EuroISI '08 Proceedings of the 1st European Conference on Intelligence and Security Informatics
Between bags and trees – constructional patterns in text used for attitude identification
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
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This paper reports on a experiment to identify the emotional loading (the "valence") of news headlines. The experiment reported is based on a resource-thrifty approach for valence annotation based on a word-space model and a set of seed words. The model was trained on newsprint, and valence was computed using proximity to one of two manually defined points in a high-dimensional word space --- one representing positive valence, the other representing negative valence. By projecting each headline into this space, choosing as valence the similarity score to the point that was closer to the headline, the experiment provided results with high recall of negative or positive headlines. These results show that working without a high-coverage lexicon is a viable approach to content analysis of textual data.