Towards Sentiment Analysis of Financial Texts in Croatian

The paper presents results of an experiment dealing with sentiment analysis of Croatian text from the domain of finance. The goal of the experiment was to design a system model for automatic detection of general sentiment and polarity phrases in these texts. We have assembled a document collection from web sources writing on the financial market in Croatia and manually annotated articles from a subset of that collection for general sentiment. Additionally, we have manually annotated a number of these articles for phrases encoding positive or negative sentiment within a text. In the paper, we provide an analysis of the compiled resources. We show a statistically significant correspondence (1) between the overall market trend on the Zagreb Stock Exchange and the number of positively and negatively accented articles within periods of trend and (2) between the general sentiment of articles and the number of polarity phrases within those articles. We use this analysis as an input for desig...

• Type: Conference
• Year: 2010
• Where: LREC
• Authors: Zeljko Agic, Nikola Ljubesic, Marko Tadic
• Keywords: Automatic Detection, Education, General Sentiment, LREC 2010, Polarity Phrases