Social networks allow free public expression of users' political opinions, advocating various views on the current political agenda. In the thesis, we analyzed the political orientation of Slovene users' posts on the Twitter social network. We used the BERTopic algorithm to find and extract political topics from the data and applied sentiment analysis to classify political orientation (left, right and neutral). The results show a significant proportion of negative sentiment towards all topics and parties. The amount of left- and right-leaning tweets on general political topics is approximately equal. We notice that two parties from opposite political poles stand out in tweet popularity.
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