@article{MTMT:34753193,
	title = {"Approaches to sentiment analysis of Hungarian political news at the sentence level"},
	url = {https://m2.mtmt.hu/api/publication/34753193},
	author = {Ring, Orsolya and Szabó, Martina Katalin and Guba, Csenge and Váradi, Bendegúz and Üveges, István},
	doi = {10.1007/s10579-023-09717-5},
	journal-iso = {LANG RESOUR EVAL},
	journal = {LANGUAGE RESOURCES AND EVALUATION},
	unique-id = {34753193},
	issn = {1574-020X},
	abstract = {Automated sentiment analysis of textual data is one of the central and most challenging tasks in political communication studies. However, the toolkits available are primarily for English texts and require contextual adaptation to produce valid results—especially concerning morphologically rich languages such as Hungarian. This study introduces (1) a new sentiment and emotion annotation framework that uses inductive approaches to identify emotions in the corpus and aggregate these emotions into positive, negative, and mixed sentiment categories, (2) a manually annotated sentiment data set with 5700 political news sentences, (3) a new Hungarian sentiment dictionary for political text analysis created via word embeddings, whose performance was compared with other available sentiment dictionaries. (4) Because of the limitations of sentiment analysis using dictionaries we have also applied various machine learning algorithms to analyze our dataset, (5) Last but not least to move towards state-of-the-art approaches, we have fine-tuned the Hungarian BERT-base model for sentiment analysis. Meanwhile, we have also tested how different pre-processing steps could affect the performance of machine-learning algorithms in the case of Hungarian texts.},
	year = {2024},
	eissn = {1574-0218},
	orcid-numbers = {Ring, Orsolya/0000-0002-3710-1118; Szabó, Martina Katalin/0000-0002-4192-4352; Üveges, István/0000-0001-5897-9379}
}

@inproceedings{MTMT:34533758,
	title = {Magyar nyelvű dizartriás beszéd automatikus elemzése - egy pilot kutatás eredményei},
	url = {https://m2.mtmt.hu/api/publication/34533758},
	author = {Oláh, Julianna and Szabó, Martina Katalin and Szőke, Eszter and Plander, Nóra and Hoffmann, Ildikó},
	booktitle = {XX. Magyar Számítógépes Nyelvészeti Konferencia},
	unique-id = {34533758},
	year = {2024},
	pages = {187-200},
	orcid-numbers = {Szabó, Martina Katalin/0000-0002-4192-4352}
}

@{MTMT:34775641,
	title = {"So this memory is quite negative" – Interrelations between Sentiment and Intensification in Schizophrenia-Bipolar Spectrum Disorders},
	url = {https://m2.mtmt.hu/api/publication/34775641},
	author = {Szabó, Martina Katalin and Szőke, Eszter and Dam, Bernadett},
	booktitle = {Felelős nyelvészet – Alkalmazott Nyelvészeti Konferencia 2. Absztraktfüzet. Socially responsible linguistics – Applied Linguistics Conference 2. Abstract Booklet},
	unique-id = {34775641},
	year = {2023},
	pages = {77},
	orcid-numbers = {Szabó, Martina Katalin/0000-0002-4192-4352; Dam, Bernadett/0009-0001-0075-7578}
}

@{MTMT:34775636,
	title = {Predictive and distinctive linguistic features of schizophrenia, schizoaffective and bipolar disorders},
	url = {https://m2.mtmt.hu/api/publication/34775636},
	author = {Dam, Bernadett and Szabó, Martina Katalin and Vincze, Veronika and Guba, Csenge and Solymos, Adrienn and Bagi, Anita and Szendi, István},
	booktitle = {Felelős nyelvészet – Alkalmazott Nyelvészeti Konferencia 2. Absztraktfüzet. Socially responsible linguistics – Applied Linguistics Conference 2. Abstract Booklet},
	unique-id = {34775636},
	year = {2023},
	pages = {37},
	orcid-numbers = {Dam, Bernadett/0009-0001-0075-7578; Szabó, Martina Katalin/0000-0002-4192-4352; Vincze, Veronika/0000-0002-9844-2194; Szendi, István/0000-0002-2612-7291}
}

@article{MTMT:34432002,
	title = {Cseresnyési László: Könyv a japán nyelvről. Bevezetés a japán nyelvészetbe.},
	url = {https://m2.mtmt.hu/api/publication/34432002},
	author = {Szabó, Martina Katalin},
	journal-iso = {MODERN NYELVOKTATÁS},
	journal = {MODERN NYELVOKTATÁS},
	volume = {29},
	unique-id = {34432002},
	issn = {1219-638X},
	year = {2023},
	pages = {174-177},
	orcid-numbers = {Szabó, Martina Katalin/0000-0002-4192-4352}
}

@misc{MTMT:34006653,
	title = {HuMenDisCo: A Hungarian Speech Corpus of Schizophrenia, Schizoaffective and Bipolar Disorders},
	url = {https://m2.mtmt.hu/api/publication/34006653},
	author = {Szabó, Martina Katalin and Vincze, Veronika and Dam, Bernadett and Solymos, Adrienn and Bagi, Anita and Szendi, István},
	doi = {10.21203/rs.3.rs-2589753/v1},
	unique-id = {34006653},
	year = {2023},
	orcid-numbers = {Szabó, Martina Katalin/0000-0002-4192-4352; Vincze, Veronika/0000-0002-9844-2194; Dam, Bernadett/0009-0001-0075-7578}
}

@inproceedings{MTMT:33611853,
	title = {Fokozás szkizofréniában},
	url = {https://m2.mtmt.hu/api/publication/33611853},
	author = {Szabó, Martina Katalin and Vincze, Veronika and Guba, Csenge and Dam, Bernadett and Solymos, Adrienn and Bagi, Anita and Szendi, István},
	booktitle = {XIX. Magyar Számítógépes Nyelvészeti Konferencia, MSZNY-2023},
	unique-id = {33611853},
	year = {2023},
	pages = {17-32},
	orcid-numbers = {Szabó, Martina Katalin/0000-0002-4192-4352; Vincze, Veronika/0000-0002-9844-2194; Dam, Bernadett/0009-0001-0075-7578; Szendi, István/0000-0002-2612-7291}
}

@article{MTMT:33229438,
	title = {“Thank you for the terrific party!” – An analysis of Hungarian negative emotive words},
	url = {https://m2.mtmt.hu/api/publication/33229438},
	author = {Szabó, Martina Katalin and Vincze, Veronika and Bibok, Károly},
	doi = {10.1515/cllt-2022-0013},
	journal-iso = {CORPUS LINGUIST LING},
	journal = {CORPUS LINGUISTICS AND LINGUISTIC THEORY},
	volume = {19},
	unique-id = {33229438},
	issn = {1613-7027},
	abstract = {The term negative emotive word refers to those words that, on their own, i.e. without context, have a semantic content that may be associated with negative emotion, but sometimes they lose it partly or wholly. In the literature negative emotive words are mainly discussed within the group of intensifiers, e.g. awfully good. In the present paper, we call this phenomenon polarity loss . At the same time, there is another use of negative emotive words that is rarely discussed in the literature, namely the case where the examined word, despite its negative semantic content, expresses a positive evaluation of the speaker, e.g. brutális alaplap (lit. ‘brutal motherboard’ – ‘high quality motherboard’). We call this phenomenon polarity shift . The aim here is to thoroughly examine the two different phenomena on the basis of the data of a Hungarian speech corpus HuTongue. After an in-depth analysis of the qualitative and quantitative features of negative emotive words, we propose corresponding ways of their meaning representations, using a lexical pragmatic approach and the concept of enantiosemy.},
	year = {2023},
	eissn = {1613-7035},
	pages = {451-485},
	orcid-numbers = {Szabó, Martina Katalin/0000-0002-4192-4352; Vincze, Veronika/0000-0002-9844-2194}
}

@inbook{MTMT:33927690,
	title = {Adalékok a negatív emotív fokozók időbeli szemantikai változásához},
	url = {https://m2.mtmt.hu/api/publication/33927690},
	author = {Szabó, Martina Katalin and Guba, Csenge and Szabó, Kristóf},
	booktitle = {A nyelvtörténeti kutatások újabb eredményei XI.},
	unique-id = {33927690},
	year = {2022},
	pages = {387-402},
	orcid-numbers = {Szabó, Martina Katalin/0000-0002-4192-4352}
}

@inproceedings{MTMT:33125320,
	title = {Nagyot mondó képviselők?. Fokozás a politikai kommunikációban},
	url = {https://m2.mtmt.hu/api/publication/33125320},
	author = {Szabó, Martina Katalin and Vincze, Veronika and Ring, Orsolya and Guba, Csenge},
	booktitle = {XVIII. Magyar Számítógépes Nyelvészeti Konferencia : MSZNY 2022},
	unique-id = {33125320},
	year = {2022},
	pages = {325-341},
	orcid-numbers = {Szabó, Martina Katalin/0000-0002-4192-4352; Vincze, Veronika/0000-0002-9844-2194}
}