Quot Homines, Tot Sententiae? Estimating Number of Different Opinions in Product Reviews

This paper explores the diversity of people's opinions. We have chosen as the research material a corpus of customer reviews on robotic vacuum cleaners in the Russian language. The study aims to identify unique perspectives and recurring patterns in user feedback, examining how individuals express their satisfaction or dissatisfaction with the product. In particular, we estimate the growth rate of the number of different opinions with an increase of the corpus size. By employing both qualitative and quantitative methods, the research explores the linguistic strategies used by users to convey their experiences and emotions. We utilize a large language model (LLM) as a tool for extracting and analyzing opinions from product reviews.