1 / 12

Context-Enhanced Citation Sentiment Analysis

Context-Enhanced Citation Sentiment Analysis. Awais Athar & Simone Teufel. Sentiment Analysis of Citations. Challenges in Citation Sentiment Analysis.

havyn
Télécharger la présentation

Context-Enhanced Citation Sentiment Analysis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Context-EnhancedCitation Sentiment Analysis AwaisAthar& Simone Teufel

  2. Sentiment Analysis of Citations

  3. 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)

  4. Problem: Context is Ignored

  5. 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

  6. 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

  7. 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

  8. 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)

  9. Effect of Context Size

  10. Comparison with Athar (2010) • M • At the cost of slight decrease in (0.77 0.73)

  11. 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

  12. Thank you! Questions?

More Related