Jernej Vičič

Impact of Negation and AnA-Words on Overall Sentiment Value of the Text Written in the Bosnian Language

2023 · Applied Sciences

In this manuscript, we present our efforts to develop an accurate sentiment analysis model for Bosnian-language tweets which incorporated three elements: negation cues, AnA-words (referring to maximizers, boosters, approximators, relative intensifiers, diminishers, and minimizers), and …

TF-IDF Based Classification of Uzbek Educational Texts

2025 · Preprints.org

This paper presents an approach to automatic Uzbek text classification. Uzbek language is a morphologically rich and low-resource language. The approach integrates Term Frequency–Inverse Document Frequency (TF-IDF) representation with conventional machine learning and similarity-based approaches. …