Buch, Englisch, 104 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 760 g
Speech Acts, Information Leaks and Recommendation Models
Buch, Englisch, 104 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 760 g
Reihe: Studies in Computational Intelligence
ISBN: 978-3-642-19955-4
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Internet, E-Mail, VoIP
- Geisteswissenschaften Sprachwissenschaft Computerlinguistik, Korpuslinguistik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
Weitere Infos & Material
Introduction.- Email “Speech Acts”.- Email Information Leaks.- Recommending Email Recipients.- User Study.- Conclusions.-Email Act Labeling Guidelines.- User Study Supporting Material.
