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Sentiment analysis of social networks
 Zaplatílek, Jan ; Jelínek, Ivan (advisor) ; Bruckner, Tomáš (referee)
This thesis concerns about sentiment analysis. In more detail sentiment analysis of social networks. Main goal of sentiment analysis is determine if tested document expresses any sentiment and, if so, whether is positive or negative. Main reason for sentiment analysis on social networks is detecting sentiment and feels about some company or brand. This activity is called brand monitoring. Information acquired from brand monitoring can be used for improving marketing or communication with customers. This thesis deals with sentiment analysis of post from public Facebook profiles of several Czech banks and telecommunication operators. Goal of this thesis is create model which has precision of determine sentiment of Facebook posts at least 80%. Method for achieving this goal is experiment. First part of this thesis describes sentiment analysis theory, definition of sentiment analysis, its problems, methods, reasons for use and use cases of sentiment analysis. Second part gives background research of often used methods and data sources for sentiment analysis in foreign research. Finally third part of this theses describes experiment, its preparation and results. Main benefit of this theses is creating model which can be later use in real word.
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2 Zaplatílek, Jakub
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