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Modeling Intention in Email

Speech Acts, Information Leaks and Recommendation Models

  • Vitor R. Carvalho

Part of the Studies in Computational Intelligence book series (SCI, volume 349)

Table of contents

  1. Front Matter
  2. Vitor R. Carvalho
    Pages 1-4
  3. Vitor R. Carvalho
    Pages 5-34
  4. Vitor R. Carvalho
    Pages 35-51
  5. Vitor R. Carvalho
    Pages 53-68
  6. Vitor R. Carvalho
    Pages 69-89
  7. Vitor R. Carvalho
    Pages 91-92
  8. Back Matter

About this book

Introduction

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.

Keywords

Computational Intelligence Email Modeling Intenion

Authors and affiliations

  • Vitor R. Carvalho
    • 1
  1. 1.RedmondUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-19956-1
  • Copyright Information Springer Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-19955-4
  • Online ISBN 978-3-642-19956-1
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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