A corpus-based investigation of junk emails
Constantin Orasan (Computational Linguistic Group, School of Humanities, Languages and Social Sciences, University of Wolverhampton)
Ramesh Krishnamurthy (Computational Linguistic Group, School of Humanities, Languages and Social Sciences, University of Wolverhampton)
WP5: Components & Systems
Almost everyone who has an email account receives from time to time unwanted emails. These emails can be jokes from friends or commercial product offers from unknown people. In this paper we focus on these unwanted messages which try to promote a product or service, or to offer some "hot" business opportunities. These messages are called junk emails. Several methods to filter junk emails were proposed, but none considers the linguistic characteristics of junk emails. In this paper, we investigate the linguistic features of a corpus of junk emails, and try to decide if they constitute a distinct genre. Our corpus of junk emails was build from the messages received by the authors over a period of time. Initially, the corpus consisted of 1563, but after eliminating the duplications automatically we kept only 673 files, totalising just over 373,000 tokens. In order to decide if the junk emails constitute a different genre, a comparison with a corpus of leaflets extracted from BNC and with the whole BNC corpus is carried out. Several characteristics at the lexical and grammatical levels were identified.
Junk email, Corpus building, Corpus comparison, Duplication in corpora, Leaflets