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Twitter Profile Identification
Lakshika Balasuriya, Sanjaya Wijeratne, Derek Doran, Amit Sheth. Finding Street Gang Members on Twitter. In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016). San Francisco, CA, USA; 2016. p. 685-692.  (2.02 MB)
Sanjaya Wijeratne, Lakshika Balasuriya, Derek Doran, Amit Sheth. Word Embeddings to Enhance Twitter Gang Member Profile Identification. In IJCAI Workshop on Semantic Machine Learning (SML 2016). New York City, NY: CEUR-WS; 2016. p. 18-24.  (265.83 KB) (6.23 MB)
twitter features
Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein S. Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan. Feature Engineering for Twitter-based Applications. In Feature Engineering for Machine Learning and Data Analytics. New York: Chapman and Hall. Data Mining and Knowledge Discovery Series; 2018. p. 359-393.  (684.81 KB)
Twitter Analytics
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)
twitter
Raminta Daniulaityte, Ramzi Nahhas, Sanjaya Wijeratne, Robert Carlson, Francois R. Lamy, Silvia Martins, Edward Boyer, Gary Alan Smith, Amit Sheth. "Time for dabs": Analyzing Twitter data on marijuana concentrates across the U.S. Drug and Alcohol Dependence. 2015 ;155:307-311.
Pavan Kapanipathi, Prateek Jain, Chitra Venkataramani, Amit Sheth. User Interests Identification on Twitter Using a Hierarchical Knowledge Base. Valentina Presutti, Milan Stankovic, Erik Cambria, Iván Cantador, Angelo DiLorio, Tommaso DiNoia, Christoph Lange, Diego Reforgiato-Recupero, Anna Tordai. 11th Extended Semantic Web Conference (ESWC 2014). Crete, Greece: Springer International Publishing; 2014. p. 99-113.  (961.33 KB)
Ashutosh Jadhav, Swapnil Soni, Amit Sheth. Social Health Signals. In International Semantic Web Conference 2015 (ISWC 2015). Bethlehem, Pennsylvania; 2015.  (183.28 KB)
Revathy Krishnamurthy, Pavan Kapanipathi, Amit Sheth, Krishnaprasad Thirunarayan. Knowledge Enabled Approach to Predict the Location of Twitter Users. Fabien Gandon, Marta Sabou, Harald Sack, Claudia d’Amato, Philippe Cudré-Mauroux, Antoine Zimmermann. 12th European Semantic Web Conference (ESWC 2015). Portoroz, Slovenia: Springer International Publishing; 2015. p. 187-201.  (790.96 KB)
Hemant Purohit, Jitendra Ajmera, Sachindra Joshi, Ashish Verma, Amit Sheth. Finding Influential Authors in Brand-Page Communities. 2012.  (369.22 KB)
Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein S. Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan. Feature Engineering for Twitter-based Applications. In Feature Engineering for Machine Learning and Data Analytics. New York: Chapman and Hall. Data Mining and Knowledge Discovery Series; 2018. p. 359-393.  (684.81 KB)
Francois R. Lamy, Raminta Daniulaityte, Amit Sheth, Ramzi Nahhas, Silvia Martins, Edward Boyer, Robert Carlson. "Those edibles hit hard": Exploration of Twitter data on cannabis edibles in the U.S. Drug and Alcohol Dependence. 2016 ;:64-70.  (731.83 KB)
Francois R. Lamy, Raminta Daniulaityte, Mussah Zatreh, Ramzi W. Nahhas, Amit Sheth, Silvia S. Martins, Edward W. Boyer, Robert G. Carlson. "You got to love rosin: Solventless dabs, pure, clean, natural medicine." Exploring Twitter data on emerging trends in Rosin Tech marijuana concentrates. Drug and Alcohol Dependence. 2018 ;183:248 - 252.
Shreyansh Bhatt, Manas Gaur, Beth Bullemer, Valerie Shalin, Amit Sheth, Brandon Minnery. Enhancing crowd wisdom using explainable diversity inferred from social media. In IEEE/WIC/ACM International Conference on Web Intelligence. Santiago, Chile: IEEE; 2018.  (313.8 KB)
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)
Raminta Daniulaityte, Lu Chen, Francois R. Lamy, Robert Carlson, Krishnaprasad Thirunarayan, Amit Sheth. "When 'Bad' is 'Good'"': Identifying Personal Communication and Sentiment in Drug-Related Tweets. JMIR Public Health Surveillance. JMIR Publications; 2016 ;2.
Revathy Krishnamurthy, Pavan Kapanipathi, Amit Sheth, Krishnaprasad Thirunarayan. Location Prediction of Twitter Users using Wikipedia. Dayton: Wright State University; 2014 .  (835.27 KB)
Pavan Kapanipathi, Prateek Jain, Chitra Venkataramani, Amit Sheth. Hierarchical Interest Graph from Tweets. Kyuseok Shim, Torsten Suel. 3rd International World Wide Web Conference. Seoul, South Korea: ACM; 2014.  (248.6 KB)
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.
Pablo N. Mendes, Alex Passant, Pavan Kapanipathi, Amit Sheth. Linked Open Social Signals. In International Conference on Web Intelligence. Toronto, Canada: IEEE/WIC/ACM International Conference on Web Intelligence (WI-10); 2010.  (526.46 KB)
twitris and twitter and retweet and user-generated content analysis and information diffusion
Meenakshi Nagarajan, Hemant Purohit, Amit Sheth. A Qualitative Examination of Topical Tweet and Retweet Practices. In 4th Int'l AAAI Conference on Weblogs and Social Media (ICWSM); 2010.  (487.06 KB)
twitris
Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein S. Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan. Feature Engineering for Twitter-based Applications. In Feature Engineering for Machine Learning and Data Analytics. New York: Chapman and Hall. Data Mining and Knowledge Discovery Series; 2018. p. 359-393.  (684.81 KB)
Hemant Purohit, Andrew Hampton, Shreyansh Bhatt, Valerie Shalin, Amit Sheth, John Flach. Identifying Seekers and Suppliers in Social Media Communities to Support Crisis Coordination. Journal of Computer-Supported Cooperative Works (JCSCW). 2014 ;23(4-6):513-545.
Amit Sheth, Pavan Kapanipathi. Semantic Filtering for Social Data. IEEE Internet Computing. IEEE; 2016 ;20(4):74-78.  (342.08 KB)
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)
Amit Sheth. Analysis and Monetization of Social Data. In Analysis and Monetization of Social Data. 2009.
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)
Kamer Yuksel, Sergio Biggemann, Amit Sheth, Jeremy Brunn. Using Social Media Data to Understand Brand Development. In 2016 Direct/Interactive Marketing Research Summit. Los Angeles, CA: Marketing EDGE; 2016.  (135.98 KB)
Hemant Purohit, Tanvi Banerjee, Andrew Hampton, Valerie Shalin, Nayanesh Bhandutia, Amit Sheth. Gender-Based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. Dayton: Wright State University; 2015 .  (955.68 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)
tweets
Pramod Anantharam, Payam Barnaghi, Krishnaprasad Thirunarayan, Amit Sheth. Extracting City Traffic Events from Social Streams. ACM Transactions on Intelligent Systems and Technology. 2015 ;6(4):2-27.  (2.5 MB)
trust model
Pramod Anantharam, Krishnaprasad Thirunarayan, Cory Henson, Amit Sheth. Trust Model for Semantic Sensor and Social Networks: A Preliminary Report. In National Aerospace & Electronics Conference (NAECON). Dayton, Ohio: In Proceedings of National Aerospace & Electronics Conference (NAECON); 2010.  (285.32 KB)
trust metrics and models (propagation: chaining and aggregation)
Krishnaprasad Thirunarayan, Pramod Anantharam, Cory Henson, Amit Sheth. Comparative Trust Management with Applications: Bayesian Approaches Emphasis. Future Generation Computer Systems. 2013 ;30(6):182-199.  (1.57 MB)
trust
Pramod Anantharam, Krishnaprasad Thirunarayan, Cory Henson, Amit Sheth. Trust Model for Semantic Sensor and Social Networks: A Preliminary Report. In National Aerospace & Electronics Conference (NAECON). Dayton, Ohio: In Proceedings of National Aerospace & Electronics Conference (NAECON); 2010.  (285.32 KB)
trident ontology and parasite experiment ontology and provenance management framework and provenir ontology
Satya S. Sahoo, Amit Sheth. Provenir ontology: Towards a Framework for eScience Provenance Management. In Microsoft eScience Workshop; 2009.  (279.27 KB)
Traffic image feature extraction
Roopteja Muppalla, Sarasi Lalithsena, Tanvi Banerjee, Amit Sheth. A Knowledge Graph Framework for Detecting Traff€ic Events Using Stationary Cameras. In Industrial Knowledge Graphs 2017 Workshop (co-located with 9th International ACM Web Science Conference 2017). Troy, NY; 2017.  (3.03 MB)
Transfer learning
Amit Sheth, Thirunarayan Krishnaprasad, Michael R. Partin. Knowledge-empowered real-time event-centric situational analysis. NSF I/UCRC, Center for Surveillance Research Advisory Board meeting, August 7th, 2018; 2018.  (1.61 MB)
transaction processing
E. J. Cameron, L. A. Ness, Amit Sheth. An Executor for Multidatabase Transactions which Achieves Maximal Parallelism. 1st International Workshop on Interoperability in Multidatabase Systems (IMS 1991). Kyoto, Japan: IEEE; 1991. p. 288 - 291.  (329.28 KB)

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