Tampere: Tamperen University, 2019. — 79 p.
Opinions have important effects on the process of decision making. With the explosion of text information on networks, sentiment analysis, which aims at predicting the opinions of people about specific entities, has become a popular tool to make sense of countless text information. There are multiple approaches for sentence-level sentiment analysis, including machine-learning methods and lexicon-based methods. In this MSc thesis we studied two typical sentiment analysis techniques – AFINN and RNTN, which are also the representation of lexicon-based and machine-learning methods, respectively.