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Towards reliable baselines for document-level sentiment analysis in the Czech and Slovak languages
Title Towards reliable baselines for document-level sentiment analysis in the Czech and Slovak languages Author Mojžiš Ján 1985- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Co-authors Krammer Peter 1984- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Kvassay Marcel 1968- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Skovajsová Lenka 1979- SAVINFO - Ústav informatiky SAV SCOPUS RID Hluchý Ladislav 1952- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Source document Future internet. Vol. 14, no. 10 (2022), art. no. 300 Language eng - English Country CH - Switzerland Document kind rozpis článkov z periodík (rbx) Citations SOKOLOVA, Zuzana - HARAHUS, Maros - JUHAR, Jozef - PLEVA, Matus - STAS, Jan - HLADEK, Daniel. Comparison of Machine Learning Approaches for Sentiment Analysis in Slovak. In ELECTRONICS, 2024, vol. 13, no. 4, pp. Dostupné na: https://doi.org/10.3390/electronics13040703. ARORA, Divya - TAYAL, Devendra K. - YADAV, Sumit K. Sentiment Hotspots’ Extraction in Large Text Documents Using Neutrosophic Sets. In Lecture Notes in Networks and Systems, 2024-01-01, 786, pp. 37-46. ISSN 23673370. Dostupné na: https://doi.org/10.1007/978-981-99-6547-2_4. Category ADMB - Scientific papers in foreign non-impacted journals registered in Web of Sciences or Scopus Category of document (from 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Type of document článok Year 2022 Registered in WOS Registered in SCOPUS DOI 10.3390/fi14100300 
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rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2022 2021 0.793 Q2
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