Teragram: Rule-based detection of sentiment phrases using SAS sentiment analysis

*SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics

Volumn 2, Issue , 2013, Pages 513-519

  Reckman, Hilke ^a   Baird, Cheyanne ^a   Crawford, Jean ^a   Crowell, Richard ^a   Micciulla, Linnea ^a   Sethi, Saratendu ^a   Veress, Fruzsina ^a  

^a SAS INSTITUTE INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; PATTERN MATCHING;

ANNOTATED TRAINING DATA; DOMAIN INDEPENDENTS; PATTERN-MATCHING SYSTEMS; RULE BASED; RULE BASED DETECTION; SENTIMENT ANALYSIS; SENTIMENT LEXICONS; SET OF RULES;

SEMANTICS;

EID: 84945282364     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Russell Albright and Praveen Lakkaraju. 2011. Combining knowledge and data mining to understand sentiment: A practical assessment of approaches. Technical report, SAS White Paper, January.
2. Stefano Baccianella, Andrea Esuli, and Fabrizio Sebas-tiani. 2010. Sentiwordnet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining. In Proceedings of the 7th conference on International Language Resources and Evaluation (LREC10), Valletta, Malta, May.
3. Yejin Choi and Claire Cardie. 2008. Learning with compositional semantics as structural inference for subsen-tential sentiment analysis. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 793–801. Association for Computational Linguistics.
4. Xiaowen Ding, Bing Liu, and Philip S Yu. 2008. A holistic lexicon-based approach to opinion mining. In Proceedings of the international conference on Web search and web data mining, pages 231–240. ACM.
5. Jacob Eisenstein. 2013. What to do about bad language on the internet. In Proc. of NAACL.
6. Praveen Lakkaraju and Saratendu Sethi. 2012. Correlating the analysis of opinionated texts using sas text analytics with application of sabermetrics to cricket statistics. In Proceedings of SAS Global Forum 2012, number 136.
7. Kathy Lange and Saratendu Sethi. 2011. What are people saying about your company, your products, or your brand? In Proceedings of SAS Global Forum 2011, number 158.
8. Bing Liu. 2010. Sentiment analysis and subjectivity. Handbook of natural language processing, 2:568.
9. Tetsuya Nasukawa and Jeonghee Yi. 2003. Sentiment analysis: Capturing favorability using natural language processing. In Proceedings of the 2nd international conference on Knowledge capture, pages 70–77. ACM.
10. Rudy Prabowo and Mike Thelwall. 2009. Sentiment analysis: A combined approach. Journal of Informet-rics, 3(2):143–157.
11. Guang Qiu, Bing Liu, Jiajun Bu, and Chun Chen. 2009. Expanding domain sentiment lexicon through double propagation. In Proceedings of the 21st international jont conference on Artifical intelligence, pages 1199–1204.
12. Maite Taboada, Julian Brooke, Milan Tofiloski, Kimberly Voll, and Manfred Stede. 2011. Lexicon-based methods for sentiment analysis. Computational linguistics, 37(2):267–307.
13. Janyce Wiebe and Ellen Riloff. 2005. Creating subjective and objective sentence classifiers from unannotated texts. In Computational Linguistics and Intelligent Text Processing, pages 486–497. Springer.
14. Michael Wiegand, Alexandra Balahur, Benjamin Roth, Dietrich Klakow, and Andrés Montoyo. 2010. A survey on the role of negation in sentiment analysis. In Proceedings of the workshop on negation and speculation in natural language processing, pages 60–68. Association for Computational Linguistics.
15. Theresa Wilson, Paul Hoffmann, Swapna Somasun-daran, Jason Kessler, Janyce Wiebe, Yejin Choi, Claire Cardie, Ellen Riloff, and Siddharth Patwardhan. 2005. Opinionfinder: A system for subjectivity analysis. In Proceedings of HLT/EMNLP on Interactive Demonstrations, pages 34–35. Association for Computational Linguistics.
16. Theresa Wilson, Zornitsa Kozareva, Preslav Nakov, Alan Ritter, Sara Rosenthal, and Veselin Stoyanov. 2013. SemEval-2013 task 2: Sentiment analysis in twitter. In Proceedings of the 7th International Workshop on Semantic Evaluation. Association for Computational Linguistics.
17. Yunfang Wu and Peng Jin. 2010. Semeval-2010 task 18: Disambiguating sentiment ambiguous adjectives. In Proceedings of the 5th International Workshop on Semantic Evaluation, pages 81–85. Association for Computational Linguistics.
18. Shi-Cai Yang and Mei-Juan Liu. 2010. Ysc-dsaa: An approach to disambiguate sentiment ambiguous adjectives based on saaol. In Proceedings of the 5th International Workshop on Semantic Evaluation, pages 440–443. Association for Computational Linguistics.