Klasifikace emailové komunikace
| Autor: | Piják, Marek |
|---|---|
| Jazyk: | čeština |
| Rok vydání: | 2018 |
| Předmět: |
Redukce dimenzionality
Confusion matice Reduction in dimensionality K-neighbors F1 skóre Zpráva Klasifikace K-nejbližších sousedů Method F1 score Term Frequency K-fold validace Nave Bayes Support vector machine Metoda K-fold validation SVM Supervised learning Frekvence termínu Classification Confusion matrix Učení s učitelem Message |
| Druh dokumentu: | masterThesis |
| Popis: | This diploma's thesis is based around creating a classifier, which will be able to recognize an email communication received by Topefekt.s.r.o on daily basis and assigning it into classification class. This project will implement some of the most commonly used classification methods including machine learning. Thesis will also include evaluation comparing all used methods. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
| Externí odkaz: |
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