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Help
If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.
Customer service
All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com
Sale & Press
If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com
In this dissertation, we describe the Word Stemming/Hashing Algorithm as an approach to help regain a spamfree inbox. Since it is impossible to foresee future spam creation techniques, it is important to react quickly to their development. Word Stemming/Hashing Algorithm has been design to detect the modified suspicious terms of the harmful messages as the content based spam filter technique works well only if the suspicious terms are lexically correct due to the spammers rearrangement of the Suspicious terms to foil the filter. That means the terms must be valid terms with correct spelling. Otherwise most content based spam filters will be unable to detect the suspicious terms. In this dissertation, we shown that if we use some sort of word stemming or word hashing technique that can extract the base or stem of a misspelled or modified term, the efficiency of any content based spam filter can be significantly improved in mail classification. Finally, we present a simple rule based Word Stemming Algorithm that can fish out and handle the modified suspicious terms for effective mail classification.
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birth defects, or other reproductive harm.
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