Implementace reakčního doplňku pro e-mailový klient Thunderbird

Abstract

This thesis is divided into two sections, a theoretical and an implementation part, whose goal is to create a reactive add-on for the Thunderbird e-mail application. It describes the various aspects of the MailExtension technology used in Thunderbird and ways of adapting to properties of this technology, e.g. in the form of a word stemmer or web server implementation. An overview of various machine learning algorithms is also presented with a more detailed focus on a select four algorithms. Implemented functions include saving text to Excel. The end of this thesis is dedicated to a summary of achieved results and insights gained during the implementation of the reactive add-on.