Towards A new Spam Filter Based on PV-DM (Paragraph Vector-Distributed Memory Approach) | Zendy

Samira Douzi | Zendy; Meryem Amar | Zendy; Bouabid El Ouahidi | Zendy; Hicham Laanaya | Zendy

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Towards A new Spam Filter Based on PV-DM (Paragraph Vector-Distributed Memory Approach)

Author(s) -

Samira Douzi,

Meryem Amar,

Bouabid El Ouahidi,

Hicham Laanaya

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.06.130

Subject(s) - computer science , paragraph , bag of words model , filter (signal processing) , representation (politics) , word (group theory) , order (exchange) , presentation (obstetrics) , artificial intelligence , forum spam , natural language processing , spamming , world wide web , spambot , the internet , computer vision , medicine , finance , politics , political science , law , economics , radiology , linguistics , philosophy

The increasing volume of emails has led to the emergence of problems caused by unsolicited email, commonly referred to as Spam. One of the most commonly presentation used in Spam Filter is the BoW (Bag-of-words). However, this approach has a number of weaknesses, mainly the fact that the word order is lost; hence different emails can have the same representation since the same words are used, and it ignores the relationship between words, which can lead to poor performance. This paper proposes a new Spam filter based on PV-DM (Paragraph Vector-Distributed Memory) in order to overcome the limitations of the BoW representation.

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