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- W2054920786 abstract "The co ntinuing explosive growth of textual content within the World Wide Web has given rise to the need for sophisticated Text Classification (TC) techniques that combine efficiency with high quality of results. E-mail filtering and email organization is an application rife with the potential to streamline the management of the vast amount of information that accumulates in the inbox. Even though a large body of research has delved into this area, there is a paucity of survey that indicates trends and directions. This paper attempts to categorize the prevalent popular techniques for classifying email as spam or legitimate and suggests possible techniques to fill in the lacunae in the arena of automatic management of emails. Our findings suggest that context-based email organization has the most potential in improving quality by learning various contexts such as n-gram phrases, linguistic constructs or users' profile based context to tailor his/her filtering scheme." @default.
- W2054920786 created "2016-06-24" @default.
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- W2054920786 date "2011-01-01" @default.
- W2054920786 modified "2023-09-25" @default.
- W2054920786 title "A Review of Text Classification Approaches for E-mail Management" @default.
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- W2054920786 doi "https://doi.org/10.7763/ijet.2011.v3.212" @default.
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