ASPECT-BASED SENTIMENT ANALYSIS OF POLITICAL DISCOURSE

The existing systems for accurate sentiment analysis are mainly based on statistical and mathematical principles. However, more promising the works that devoted to study of linguistic features evaluation expression. results this formalization can be applied both in field affective computing further improvement automatic linguistics related sciences. novelty lies development an algorithm identified rules. In addition, research material is political discourse, which has not yet been studied enough by specialists computing. relevance work justified growing need categorization information published Internet. purpose develop a system machine English-language texts, as well identify aspects their distribution subsequent use enhancement. article discusses suggests classification units with potential relation levels language structure. experiment testing operation system, conducted 300 news articles user comments taken from reddit.com/r/politics, also presented. accuracy 92%. selected 40 were manually marked up tagged; during process expert 25 aspects. Furthermore, 3 formal patterns aspect terms, necessary creating system. first peculiarity terms repeated two consecutive sentences. second often themes Finally, third — high frequency at beginning end text (document) was revealed.