[HTML][HTML] Uncovering the reasons behind COVID-19 vaccine hesitancy in Serbia: sentiment-based topic modeling
Background Since the first COVID-19 vaccine appeared, there has been a growing tendency
to automatically determine public attitudes toward it. In particular, it was important to find the …
to automatically determine public attitudes toward it. In particular, it was important to find the …
Otvoreni resursi i tehnologije za obradu srpskog jezika
Rezime: Otvorenost jezičkih resursa i alata je od velike važnosti za povećanje kvaliteta i
brzine razvoja tehnologija za računarsku obradu prirodnih jezika. U ovom radu predstavljeni …
brzine razvoja tehnologija za računarsku obradu prirodnih jezika. U ovom radu predstavljeni …
Construction Grammar Conceptual Network: Coordination-based graph method for semantic association analysis
B Perak, TB Kirigin - Natural Language Engineering, 2023 - cambridge.org
In this article, we present the Construction Grammar Conceptual Network method,
developed for identifying lexical similarity and word sense discrimination in a syntactically …
developed for identifying lexical similarity and word sense discrimination in a syntactically …
Multilingual named entity recognition and matching using BERT and dedupe for Slavic languages
M Prelevikj, S Žitnik - Proceedings of the 8th Workshop on Balto …, 2021 - aclanthology.org
This paper describes the University of Ljubljana (UL FRI) Group's submissions to the shared
task at the Balto-Slavic Natural Language Processing (BSNLP) 2021 Workshop. We …
task at the Balto-Slavic Natural Language Processing (BSNLP) 2021 Workshop. We …
Emotion analysis in socially unacceptable discourse
Texts often express the writer's emotional state, and it was shown that emotion information
has potential for hate speech detection and analysis. In this work, we present a methodology …
has potential for hate speech detection and analysis. In this work, we present a methodology …
Classifying text using machine learning models and determining conversation drift
Text classification helps analyse texts for semantic meaning and relevance, by mapping the
words against this hierarchy. An analysis of various types of texts is invaluable to …
words against this hierarchy. An analysis of various types of texts is invaluable to …
Multilingual transformer and BERTopic for short text topic modeling: The case of Serbian
This paper presents the results of the first application of BERTopic, a state-of-the-art topic
modeling technique, to short text written in a morphologically rich language. We applied …
modeling technique, to short text written in a morphologically rich language. We applied …