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The Mechanism to detect spam emails in Marathi language using NLP

Bhanarkar, Onkar Vilas (2020) The Mechanism to detect spam emails in Marathi language using NLP. Masters thesis, Dublin, National College of Ireland.

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Abstract

Communication has increased extremely nowadays. Today’s generation considers email as the fastest medium of communication within a shorter duration and for longer distance. Spam is junk email or email which users do not want in their inbox. The English and Marathi languages are completely different. Hence, detecting spam emails in the Marathi language is difficult as general research in spam filtering in other languages will not apply to that in the Marathi language. Several methods exist for finding spam mails. These methods are broadly classified as context-based or non-context-based. Most of the algorithms and techniques that are used for Spam classification in English and other languages are discussed and evaluated from different researches in this paper. Moreover, we have developed a tool by machine learning techniques that are appropriate in the Marathi Language. In our work, we have performed spam detection for emails in the Marathi Language. Experimental results were compared with respect to different machine learning models for classification to suggest an optimal solution for this problem.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software > Computer Security
T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions: School of Computing > Master of Science in Cyber Security
Depositing User: Dan English
Date Deposited: 26 Jan 2021 14:31
Last Modified: 26 Jan 2021 14:31
URI: http://norma.ncirl.ie/id/eprint/4488

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