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Showing 1 to 2 of 2 for “"Email classification"”.

  1. Development of a prototype for user-driven email classification

    Enormous volumes of email are proliferated around the world every day, and a significant number of users believe that a large proportion of their time is being wasted dealing with the resultant inbox 'flooding'. This research studies existing email classification techniques which aim to reduce the …

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  2. Authorship Attribution on the Enron Email Corpus

    … paper I present authorship attribution on an email corpus. The source I used was the Enron Email Corpus (Cohen, 2009). By reformatting these emails, four test sets were categorized based on the length of each email: Tiny (≤ 99 characters), Small (100 to 500 characters), Medium (501 to 999 …

    duquesne Repository record for Authorship Attribution on the Enron Email Corpus (opens in a new tab)