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E-Mail Classification Mechanism using Classifier of Data Mining Technique


Laura S , Bishop Appasamy College of Arts and Science; Arul Geeta G, Bishop Appasamy college of Arts and Science


Mining Data, Email Classification, Semantic Match and Classifier


Personal and industrial users desire to utilize email as one of the crucial resource of communication. The volume of business-critical emails maintain to grow, the need to computerize the management of emails amplify for numerous reasons, such as spam email categorization, phishing email categorization, and multi-folder classification, in the middle of others. We propose a novel method named as "Semantic Match" which enlarges a learning replica with the carry of WordNet Tool. The proposed Technique is competent of behaviour the extracted Futures resemblance and computation description such as correctness and complication. Here we will be by means of WordNet dictionary folder which affords a semantic dictionary for English. WordNet is a great lexical database of English. And also here we use the classification method of SVM and KNN to classify the E-Mails in an appropriate manner.

Other Details

Paper ID: IJSRDV5I100044
Published in: Volume : 5, Issue : 10
Publication Date: 01/01/2018
Page(s): 862-866

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