Efficient email classification approach based on semantic methods
نویسندگان
چکیده
منابع مشابه
Improving the methods of email classification based on words ontology
The Internet has dramatically changed the relationship among people and their relationships with others people and made the valuable information available for the users. Email is the service, which the Internet provides today for its own users; this service has attracted most of the users' attention due to the low cost. Along with the numerous benefits of Email, one of the weaknesses of this se...
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Today’s business world common medium of communication is email. Email is not only used in the professional way it is used in the personal interest as well. So, one of the main concern is, that user can received mails which is relevant to the user and some mail those are not all related to the user. The main thing is we need to do is to identify the important email and then make a cluster of the...
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Email access from handheld devices is cumbersome, partly because of the considerable effort in entering text using pen-based devices. Even though much research has been done on improving text entry speed on handheld devices, little research has been done on text entry for e-mail messages. In this paper, we utilize the user knowledge and application semantics of email to enable easy and fast ema...
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Plagiarism which is defined as “the wrongful appropriation of other writers’ or authors’ works and ideas without citing or informing them” poses a major challenge to knowledge spread publication. Plagiarism has been placed in four categories of direct, paraphrasing (rewriting), translation, and combinatory. This paper addresses translational plagiarism which is sometimes referred to as cross-li...
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We report on the construction of an ontology that applies rules for identification of features to be used for email classification. The associated probabilities for these features are then calculated from the training set of emails and used as a part of the feature vectors for an underlying Bayesian classifier.
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ژورنال
عنوان ژورنال: Ain Shams Engineering Journal
سال: 2018
ISSN: 2090-4479
DOI: 10.1016/j.asej.2018.06.001