• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Modeling Intention in Email: Speech Acts, Information Leaks and Recommendation Models

Modeling Intention in Email: Speech Acts, Information Leaks and Recommendation Models

Paperback

Series: Studies in Computational Intelligence, Book 349

Technology & EngineeringGeneral Computers

ISBN10: 3642267963
ISBN13: 9783642267963
Publisher: Springer Nature
Published: May 29 2013
Pages: 104
Weight: 0.39
Height: 0.25 Width: 6.14 Depth: 9.21
Language: English
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.

Also in

Technology & Engineering