Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Inter-coder agreement for computational linguistics
Computational Linguistics
HICSS '10 Proceedings of the 2010 43rd Hawaii International Conference on System Sciences
Modeling diverse standpoints in text classification: learning to be human by modeling human values
Proceedings of the 2011 iConference
Journal of the American Society for Information Science and Technology
Understanding individuals' personal values from social media word use
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
How to see values in social computing: methods for studying values dimensions
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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This paper describes the development of a scalable process for people and machines working together to identify sections of text that reflect specific human values. A total of 2,005 sentences from 28 prepared testimonies presented before hearings on Net neutrality were manually annotated for one or more of ten human values using an annotation frame based on experience annotating similar content using the Schwartz Values Inventory. Moderately good agreement suggests that meaningful distinctions can often be drawn by human annotators. Several k-Nearest-Neighbor classifiers were compared in this preliminary study, yielding results that appear promising and that clearly point to productive directions for future work.