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Context-Enhanced Citation Sentiment Analysis. Awais Athar & Simone Teufel. Sentiment Analysis of Citations. Challenges in Citation Sentiment Analysis.
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Context-EnhancedCitation Sentiment Analysis AwaisAthar& Simone Teufel
Challenges in Citation Sentiment Analysis • “While SCL has been successfully applied to POS tagging and Sentiment Analysis (Blitzer et al., 2006), its effectiveness for parsing was rather unexplored.” Negative sentiment is ‘politically dangerous’- (Ziman, 1968) Personal biases are hedged - (Hyland, 1995) Criticism is ‘sweetened’ - (MacRoberts and MacRoberts, 1984; Hornsey et al., 2008)
Our Contributions • Anew citation sentiment corpus • contains citations annotated with the dominant sentiment in the context • closer to the truth than single-sentence citations • increases citation sentiment coverage • Exploring effects of using context windows of different lengths on citation sentiment analysis
Corpus Construction x • Incoming citations to 20 papers • 1,741 citations (from >800 papers) • Window length of 4 • 4-class scheme • objective/neutral • positive • negative • e cluded
Annotation Unit is the Citation • Problem • There may be more than 1 sentiment /citation • Solution • For Gold Standard: assume last sentiment is what is really meant • For Automatic Treatment: merge citation context into one single sentence
Experiments det_results_Thensubj_good_results cop_good_were SVM / 10 fold cross-validation Each citation as a feature set n-grams of length 1 to 3 Dependency triplets (Athar, 2010)
Comparison with Athar (2010) • M • At the cost of slight decrease in (0.77 0.73)
Conclusion A Athar and S Teufel, "Detection of implicit citations for sentiment detection", Accepted in Workshop on Detecting Structure in Scholarly Discourse 2012, ACL 2012. Detection of citation sentiment in context around citation, not just citation sentence. New, large, context-aware citation corpus Result F=0.73 (sentiment is harder to find in science) Improvement: Use coherence features to find variable window in each document
Thank you! Questions?