Doporučovací systém pro optimalizaci obsahu textových dokumentů

This Master’s Thesis is focusing on developing a recommender system for optimizing the content of text documents. The main goal of this thesis is to develop a web application, which allows users to easily replace words in their documents. The application, which is based on a thesaurus, will allow users to input their text and choose the words they want to replace. The entire text will then be analyzed for context using artificial intelligence and the most suitable words will be suggested. This thesis documents the entire end-to-end process of creating a web application, dockerizing it and deploying it on a web server. It also includes the theoretical base for each of these steps. The outcome will be a working recommender system for optimizing the content of text documents, which will be accessible from the internet and allow users to effectively replace words.