Comparing values and sentiment using Mechanical Turk

TitleComparing values and sentiment using Mechanical Turk
Publication TypeConference Papers
Year of Publication2011
AuthorsTempleton T C, Fleischmann KR, Boyd-Graber J
Conference NameProceedings of the 2011 iConference
Date Published2011///
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-0121-3
Keywordshuman values, sentiment analysis, text classification

Human values can help to explain people's sentiment toward current events. In this experiment, we compare people's values with their agreement or disagreement with paragraphs that were classified as either supporting or opposing a specific topic. We found that five value types have statistically significant agreement (p<0.001) for both the supporting and opposing paragraphs, in opposite directions. We hope to use these paragraph ratings to train an automatic text classifier to agree or disagree with paragraphs based on a specific value profile.