Honors Thesis Archive
| Author | Lily Pederson |
|---|---|
| Title | Machine Learning and Classifying Phishing Emails |
| Department | Mathematics & Computer Science |
| Advisor | Sunday Ngwobia |
| Year | 2024 |
| Honors | University Honors |
| Full Text | View Thesis (510 KB) |
| Abstract | The question investigated in this thesis is whether or not machine learning can correctly classify and separate phishing emails from regular emails. Various methods of data processing were used to clean the Enron corpus including regular expression, lemmatization, and stop word removal. Results through term-frequency inverse-document-frequency (TF-IDF) and KMeans clustering yielded successful results. |
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