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Linkage Preference
Lu Chen, Ingmar Weber, Adam Okulicz-Kozaryn. U.S. Religious Landscape on Twitter. In 6th International Conference on Social Informatics (SocInfo 2014). Barcelona, Spain; 2014.  (1.28 MB)
large emotion-labeled dataset
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 International Conference on Social Computing (SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592.  (156.44 KB)
harnessing Twitter big data
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 International Conference on Social Computing (SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592.  (156.44 KB)
Gender Difference
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Cursing in English on Twitter. ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2014). New York, NY: ACM; 2014. p. 415-425.
feature extraction
Lu Chen, Justin Martineau, Doreen Cheng, Amit Sheth. Clustering for Simultaneous Extraction of Aspects and Features from Reviews. In North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL: HLT). San Diego, California: NAACL; 2016.  (299.4 KB)
feature combinations
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 International Conference on Social Computing (SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592.  (156.44 KB)
Engagement Degree
Lu Chen, Wenbo Wang, Amit Sheth. Are Twitter users equal in predicting elections? A study of user groups in predicting 2012 US Republican Presidential Primaries. In SocInfo 2012. Lausanne, Switzerland: Springer Berlin Heidelberg; 2012. p. 379-392.  (280.79 KB)
emotional situations
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 International Conference on Social Computing (SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592.  (156.44 KB)
emotion-related hashtags
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 International Conference on Social Computing (SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592.  (156.44 KB)
emotion-bearing words
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 International Conference on Social Computing (SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592.  (156.44 KB)
Emotion Identification
Wenbo Wang, Lu Chen, Ming Tan, Shaojun Wang, Amit Sheth. Discovering Fine-grained Sentiment in Suicide Notes. Book: Biomedical Informatics Insights. 2012 ;:137-145.  (234.32 KB)
Emotion Analysis
Justin Martineau, Lu Chen, Doreen Cheng, Amit Sheth. Active Learning with Efficient Feature Weighting Methods for Improving Data Quality and Classification Accuracy. 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014). Baltimore, MD; 2014.  (179.11 KB)
Emotion
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Cursing in English on Twitter. ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2014). New York, NY: ACM; 2014. p. 415-425.
Electoral Prediction
Lu Chen, Wenbo Wang, Amit Sheth. Are Twitter users equal in predicting elections? A study of user groups in predicting 2012 US Republican Presidential Primaries. In SocInfo 2012. Lausanne, Switzerland: Springer Berlin Heidelberg; 2012. p. 379-392.  (280.79 KB)
Cursing
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Cursing in English on Twitter. ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2014). New York, NY: ACM; 2014. p. 415-425.
Correlation Analysis
Lu Chen, Ingmar Weber, Adam Okulicz-Kozaryn. U.S. Religious Landscape on Twitter. In 6th International Conference on Social Informatics (SocInfo 2014). Barcelona, Spain; 2014.  (1.28 MB)
comprehensive coverage
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 International Conference on Social Computing (SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592.  (156.44 KB)
clustering
Lu Chen, Justin Martineau, Doreen Cheng, Amit Sheth. Clustering for Simultaneous Extraction of Aspects and Features from Reviews. In North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL: HLT). San Diego, California: NAACL; 2016.  (299.4 KB)
bigrams
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 International Conference on Social Computing (SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592.  (156.44 KB)
automatic emotion identification task
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 International Conference on Social Computing (SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592.  (156.44 KB)
aspect-based opinion mining
Lu Chen, Justin Martineau, Doreen Cheng, Amit Sheth. Clustering for Simultaneous Extraction of Aspects and Features from Reviews. In North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL: HLT). San Diego, California: NAACL; 2016.  (299.4 KB)
aspect discovery
Lu Chen, Justin Martineau, Doreen Cheng, Amit Sheth. Clustering for Simultaneous Extraction of Aspects and Features from Reviews. In North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL: HLT). San Diego, California: NAACL; 2016.  (299.4 KB)
Active learning
Justin Martineau, Lu Chen, Doreen Cheng, Amit Sheth. Active Learning with Efficient Feature Weighting Methods for Improving Data Quality and Classification Accuracy. 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014). Baltimore, MD; 2014.  (179.11 KB)

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