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A

Wenbo Wang, Lu Chen, Keke Chen, Krishnaprasad Thirunarayan, Amit Sheth. Adaptive Training Instance Selection for Cross-Domain Emotion Identification. In WI ’17. Leipzig, Germany; 2017.

(710.53 KB)

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)

Christopher Thomas, Pankaj Mehra, Wenbo Wang, Amit Sheth, Gerhard Weikum. Automatic Domain Model Creation Using Pattern-Based Fact Extraction. 2010.

(1022.87 KB)

Wenbo Wang. Automatic Emotion Identification from Text. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2015. p. 138.

(679.48 KB)

B

Lu Chen, Wenbo Wang, Meenakshi Nagarajan, Shaojun Wang, Amit Sheth. Beyond Positive/Negative Classification: Automatic Extraction of Sentiment Clues from Microblogs. 2011.

C

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.

D

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)

E

Lu Chen, Wenbo Wang, Meenakshi Nagarajan, Shaojun Wang, Amit Sheth. Extracting Diverse Sentiment Expressions with Target-dependent Polarity from Twitter. In International AAAI Conference on Weblogs and Social Media (ICWSM). Dublin, Ireland: In Proceedings of the 6th International AAAI Conference on Weblogs and Social Media (ICWSM); 2012.

(220.53 KB)

H

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)

O

Christopher Thomas, Pankaj Mehra, Amit Sheth, Wenbo Wang. On-demand Creation of Focused Domain Models using Top-down and Bottom-up Information Extraction. 2012 .

(4.54 MB)

P

Wenbo Wang, Christopher Thomas, Amit Sheth, Victor Chan. Pattern-Based Synonym and Antonym Extraction. In 48th ACM Southeast Conference. Oxford, Mississippi; 2010.

(98.05 KB)

T

Lu Zhou, Wenbo Wang, Keke Chen. Tweet Properly: Analyzing Deleted Tweets to Understand and Identify Regrettable Ones. 25th International World Wide Web Conference (WWW 2016). Montreal, Canada: ACM; 2016. p. 603-612.

(367.25 KB)

Amit Sheth, Ashutosh Jadhav, Pavan Kapanipathi, Chen Lu, Hemant Purohit, Gary Alan Smith, Wenbo Wang. Twitris: A System for Collective Social Intelligence. In: Reda Alhajj, Jon Rokne. Encyclopedia of Social Network Analysis and Mining. 1st ed. New York: Springer-Verlag New York; 2014. p. 2240-2253.

(2.21 MB)

Amit Sheth, Hemant Purohit, Gary Alan Smith, Jeremy Brunn, Ashutosh Jadhav, Pavan Kapanipathi, Chen Lu, Wenbo Wang. Twitris: A System for Collective Social Intelligence. In: Reda Alhajj, Jon Rokne. Encyclopedia of Social Network Analysis and Mining. 2nd ed. New York: Springer-Verlag New York; 2018. p. 1-23.

(1.18 MB)

Meenakshi Nagarajan, Raghava Mutharaju, Karthik Gomadam, Pramod Anantharam, Ajith Ranabahu, Ashutosh Jadhav, Wenbo Wang, Vinh Nguyen, Amit Sheth. Twitris: Socially Influenced Browsing. 2009.

(309.37 KB)

U

Ramakanth Kavuluru, Christopher Thomas, Amit Sheth, Victor Chan, Wenbo Wang, Gary Alan Smith. An Up-to-date Knowledge-Based Literature Search and Exploration Framework for Focused Bioscience Domains. In IHI 2012- 2nd ACM SIGHIT International Health Informatics Symposium. Miami Florida; 2012.

(1.3 MB)

W

Delroy Cameron, Christopher Thomas, Pablo N. Mendes, Pankaj Mehra, Wenbo Wang, Amit Sheth. What Goes Around Comes Around - Improving Linked Open Data through On-Demand Model Creation. In Web Science; 2010.

(0 bytes)

Y

Wenbo Wang, Lei Duan, Anirudh Koul, Amit Sheth. YouRank: Let User Engagement Rank Microblog Search Results. In 8th International AAAI Conference on Weblogs and Social Media . Ann Arbor, MI; 2014.

(716.37 KB)