Ing. Tomáš Hercig

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Reseacher

tigi@kiv.zcu.cz

Tomáš Hercig received his master degree in computer science from the University of West Bohemia in 2012. He is currently Ph.D. student at the same university. His research is oriented on natural language processing, especially sentiment analysis.

Publications

Josef Steinberger and Tomáš Brychcín and Tomáš Hercig and Peter Krejzl
Cross-lingual Flames Detection in News Discussions
Proceedings of the International Conference Recent Advances in Natural Language Processing RANLP 2017 (2017)
BibTex
Tomáš Hercig and Ladislav Lenc
The Impact of Figurative Language on Sentiment Analysis
Proceedings of the International Conference Recent Advances in Natural Language Processing RANLP 2017 (2017)
BibTex
Sentiment analysis
Tomáš Hercig and Peter Krejzl and Josef Steinberger and Ladislav Lenc
Detecting Stance in Czech News Commentaries
Proceedings of the 17th ITAT: Slovenskočeský NLP workshop (SloNLP 2017) (2017)
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Sentiment analysis
Tomáš Hercig and Tomáš Brychcín and Lukáš Svoboda and Michal Konkol
UWB at SemEval-2016 Task 5: Aspect Based Sentiment Analysis
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) (2016)
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Sentiment analysis
Tomáš Hercig and Vladislav Kuboň and Markéta Lopatková
Searching for a Measure of Word Order Freedom
Proceedings of the 16th ITAT: Slovenskočeský NLP workshop (SloNLP 2016) (2016)
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Ladislav Lenc and Tomáš Hercig
Neural Networks for Sentiment Analysis in Czech
Proceedings of the 16th ITAT: Slovenskočeský NLP workshop (SloNLP 2016) (2016)
BibTex | PDF
Sentiment analysis
Tomáš Hercig and Ivan Habernal
Sarcasm Detection on Czech and English Twitter
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers (2014)
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Sentiment analysis
Ivan Habernal and Tomáš Hercig and Josef Steinberger
Sentiment analysis in czech social media using supervised machine learning
Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (2013)
BibTex | PDF
Sentiment analysis
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