![Thumbnail](/bitstream/handle/20.500.11984/6367/Novel%20email%20spam%20detection%20method%20using%20sentiment%20analysis%20and%20personality%20recognition.pdf.jpg?sequence=4&isAllowed=y)
Title
Novel email spam detection method using sentiment analysis and personality recognitionAuthor (from another institution)
xmlui.dri2xhtml.METS-1.0.item-contributorOtherinstitution
Pragsis TechnologiesVersion
http://purl.org/coar/version/c_ab4af688f83e57aa
Rights
© 2020 The Author(s)Access
http://purl.org/coar/access_right/c_abf2Publisher’s version
https://doi.org/10.1093/jigpal/jzz073Published at
Logic Journal of the IGPL Vol. 28. N. 1. Pp. 83–94. February, 2020Publisher
Oxford AcademicKeywords
spampolarity
personality
sentiment analysis
Abstract
Unsolicited email campaigns remain as one of the biggest threats affecting millions of users per day. During the past years several techniques to detect unsolicited emails have been developed. This wo ... [+]
Unsolicited email campaigns remain as one of the biggest threats affecting millions of users per day. During the past years several techniques to detect unsolicited emails have been developed. This work provides means to validate the hypothesis that the identification of the email messages’ intention can be approached by sentiment analysis and personality recognition techniques. These techniques will provide new features that improve current spam classification techniques. We combine personality recognition and sentiment analysis techniques to analyse email content. We enrich a publicly available dataset adding these features, first separately and after in combination, of each message to the dataset, creating new datasets. We apply several combinations of the best email spam classifiers and filters to each dataset in order to compare results. [-]
Collections
- Articles - Engineering [639]