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Can we predict eat-out preference of a person from tweets?, , , , and . WebSci, page 350-351. ACM, (2016)Don't get Lost in Negation: An Effective Negation Handled Dialogue Acts Prediction Algorithm for Twitter Customer Service Conversations., , , , and . CoRR, (2018)Information overload in non-visual web transaction: context analysis spells relief.. ASSETS, page 265-266. ACM, (2007)Csurf: a context-driven non-visual web-browser., , and . WWW, page 31-40. ACM, (2007)Live and learn from mistakes: A lightweight system for document classification., , , , and . Inf. Process. Manag., 49 (1): 83-98 (2013)Modeling and Computational Characterization of Twitter Customer Service Conversations., , , , and . ACM Trans. Interact. Intell. Syst., 9 (2-3): 18:1-18:28 (2019)Fostering User Engagement: Rhetorical Devices for Applause Generation Learnt from TED Talks., , , , and . ICWSM, page 592-595. AAAI Press, (2017)WebVAT: Web Page Visualization and Analysis Tool., , , and . ICWE, volume 4607 of Lecture Notes in Computer Science, page 516-520. Springer, (2007)Temporal modeling of basic human values from social network usage., , and . J. Assoc. Inf. Sci. Technol., 70 (2): 151-163 (2019)Identifying and Predicting Temporal Change of Basic Human Values from Social Network Usage., , and . ASONAM, page 619-620. ACM, (2017)