Spam Detection using Word Sense Disambiguation |
Author(s): |
| Ms. Anjana B Sanjada , Shankersinh Vaghela Bapu Institute of Technology; Dr Kinjal Adhvaryu, Shankersinh Vaghela Bapu Institute of Technology; Ms Manisha Chaudhari, Government Polytechnic Gandhinagar; Ms Rama M. Maliya, Sharda University, Greater Noida; Ms Pooja Shah, Shankersinh Vaghela Bapu Institute of Technology |
Keywords: |
| Word Sense Disambiguation (WSD) |
Abstract |
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with advancement in technology most of the fashionable day communication takes place through emails. This has made the method of communication much faster and easier because it saves time. One probable disadvantage of using emails as a major mode communication is advertisements. Many companies use them for his or her advertisement and keep it up sending emails that contain unwanted information often mentioned as Spam. Although many approaches are developed for the identification of spam emails but none of them gives good accuracy in spam identification and screening. In existing work two semantic level analysis is used. And in this proposed work Word Sense Disambiguation (WSD) used for spam detection by using CN2 SD algorithm. |
Other Details |
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Paper ID: IJSRDV9I30112 Published in: Volume : 9, Issue : 3 Publication Date: 01/06/2021 Page(s): 444-446 |
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