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20212026
most citedSentiment Analysis in Finance: From Transformers Back to eXplainable Lexicons (XLex)

41 citations · 110 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.CL2025

Building a Macedonian Recipe Dataset: Collection, Parsing, and Comparative Analysis

Darko Sasanski, Dimitar Peshevski, Riste Stojanov +1

Computational gastronomy increasingly relies on diverse, high-quality recipe datasets to capture regional culinary traditions. Although there are large-scale collections for major…

cs.CL2023★ 41 cited

Sentiment Analysis in Finance: From Transformers Back to eXplainable Lexicons (XLex)

Maryan Rizinski, Hristijan Peshov, Kostadin Mishev +2

Lexicon-based sentiment analysis (SA) in finance leverages specialized, manually annotated lexicons created by human experts to extract sentiment from financial texts. Although lex…

cs.CL2023★ 37 cited

Enhancing Knowledge Graph Construction Using Large Language Models

Milena Trajanoska, Riste Stojanov, Dimitar Trajanov

The growing trend of Large Language Models (LLM) development has attracted significant attention, with models for various applications emerging consistently. However, the combined…

cs.CL2023★ 2 cited

Company classification using zero-shot learning

Maryan Rizinski, Andrej Jankov, Vignesh Sankaradas +3

In recent years, natural language processing (NLP) has become increasingly important in a variety of business applications, including sentiment analysis, text classification, and n…

cs.CL2022★ 16 cited

Review of Natural Language Processing in Pharmacology

Dimitar Trajanov, Vangel Trajkovski, Makedonka Dimitrieva +5

Natural language processing (NLP) is an area of artificial intelligence that applies information technologies to process the human language, understand it to a certain degree, and…

cs.CL2021★ 14 cited

PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts using Transfer Learning

Nasi Jofche, Kostadin Mishev, Riste Stojanov +2

The challenge of recognizing named entities in a given text has been a very dynamic field in recent years. This is due to the advances in neural network architectures, increase of…