00000cmm a22000004a 4500 UP-99796217611211943 Buklod 20140423133438.0 m go j cr cn |||aaaaa 110328s2011 xx u | eng d 9783642199561 (eBook) 3642199569 (eBook) (iLib)UPD-00214608083 DML eng DMLUC P 98 C37 2011eb Carvalho, Vitor R. Modeling intention in email [electronic resource] speech acts, information leaks and recommendation models Vitor R. Carvalho. Berlin Heidelberg Springer c2011. 1 online resource (xi, 104 p.) ill. Studies in computational intelligence v. 349. Introduction -- Email ?Speech Acts? -- Email Information Leaks -- Recommending Email Recipients.-  User Study -- Conclusions.-Email Act Labeling Guidelines -- User Study Supporting Material. IP-based subscription, access limited to within on-campus computer network. Access via Electronic Resources of the UPD University Library Website. Everyday more than half of American adult internet users read or write email messages at least once. The prevalence of email has significantly impacted the working world, functioning as a great asset on many levels, yet at times, a costly liability. In an effort to improve various aspects of work-related communication, this work applies sophisticated machine learning techniques to a large body of email data. Several effective models are proposed that can aid with the prioritization of incoming messages, help with coordination of shared tasks, improve tracking of deadlines, and prevent disastrous information leaks. Carvalho presents many data-driven techniques that can positively impact work-related email communication and offers robust models that may be successfully applied to future machine learning tasks. Electronic reproduction. New York SpringerLink 2011. Available via World Wide Web through SpringerLink. Computational linguistics. Electronic mail messages. Electronic books. SpringerLink (Online service). Available for University of the Philippines Diliman via SpringerLink. Click here to access http://link.springer.com/book/10.1007/978-3-642-19956-1 UPD DMLR Electronic Resource