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Sentiment analysis as deriving opinions or emotional content from written documents is an important tool in finance. It is used for prediction of stock markets, prediction of financial risk or distress, and detection of abnormal investor behavior by analyzing companies' reports, social media posts or news articles. To conduct the analysis, either word lists or machine learning algorithms are used. Taking context of sentence structures into account improves both research methods. This thesisdoi:10.18452/20866 fatcat:i6nfrd6r6nbtvaugjk3vu5wfre