We compare topics covered by Slovenian media by analysing sentiment of the articles. We aim to analyse different stances of media towards specific political events or topics. We used LDA model for topic modeling and based on results, we selected articles with political content. For the sentiment analysis task we fine-tuned Slovenian SloBERTa model which we used to classify articles in one of three sentiment labels (positive, neutral, negative). We compare the media on a few political topics, where we notice differences between media. We present the results, highlight weaknesses of our system and suggest improvements.
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