Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Martin MIKULA"'
Autor:
Martin MIKULA, Kristína MACHOVÁ
Publikováno v:
Acta Electrotechnica et Informatica, Vol 18, Iss 2, Pp 27-34 (2018)
Sentiment analysis in the minor languages, such as Slovak, using dictionary approach is a difficult task. It requires a lot of human effort and it is time-consuming to prepare a reliable source of information, especially good dictionary. We propose
Externí odkaz:
https://doaj.org/article/d727637f2b9240ec9a2215d073bcf1f0
Publikováno v:
Electronics
Volume 9
Issue 8
Electronics, Vol 9, Iss 1317, p 1317 (2020)
Volume 9
Issue 8
Electronics, Vol 9, Iss 1317, p 1317 (2020)
This work belongs to the field of sentiment analysis
in particular, to opinion and emotion classification using a lexicon-based approach. It solves several problems related to increasing the effectiveness of opinion classification. The first pro
in particular, to opinion and emotion classification using a lexicon-based approach. It solves several problems related to increasing the effectiveness of opinion classification. The first pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17985b2883102b98fd32c040db6f2c34
Autor:
Kristína Machová, Martin Mikula
Publikováno v:
Acta Electrotechnica et Informatica, Vol 18, Iss 2, Pp 27-34 (2018)
Sentiment analysis in the minor languages, such as Slovak, using dictionary approach is a difficult task. It requires a lot of human effort and it is time-consuming to prepare a reliable source of information, especially good dictionary. We propose a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12ca17bf4dd023979494e76f3b696d2e
https://doi.org/10.15546/aeei-2018-0013
https://doi.org/10.15546/aeei-2018-0013
Publikováno v:
COMPUTING AND INFORMATICS; Vol 37, No 3 (2018): Computing and Informatics; 737-758
This paper deals with mining conversational content from the social media. It focused on two issues: opinion and emotion classification and identification of authoritative reviewers. The paper also describes applications representing the results obta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05b919e94ac7c53c332f77b1c197058b
http://www.cai.sk/ojs/index.php/cai/article/view/2018_3_737
http://www.cai.sk/ojs/index.php/cai/article/view/2018_3_737
Publikováno v:
SSCI
Cross-lingual adaptation is very important and challenging for minor languages. This paper proposes an adaptation system for sentiment analysis based on dictionaries. It is a difficult and time-consuming task to adapt a dictionary from major language
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::953034e48871f5f718a47825dca2f1b6
https://doi.org/10.1109/ssci.2017.8285313
https://doi.org/10.1109/ssci.2017.8285313
Autor:
Martin Mikula, Kristína Machová
Publikováno v:
2016 IEEE 14th International Symposium on Applied Machine Intelligence and Informatics (SAMI).
With the development of the Internet and the increasing amount of opinion-based data, an ordinary person is not able to process them all. Therefore the importance of automated processing of this data grows. Processing of text data is very difficult.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d01e3a68b6e1e5ef640f575f4e9a627d
https://doi.org/10.1109/sami.2016.7423020
https://doi.org/10.1109/sami.2016.7423020
Autor:
Kristína Machová, Martin Mikula
Publikováno v:
2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI).
Nowadays, with enhancing possibilities of the Internet usage, the number of its users grows as well. People use it more and more to communicate among themselves. This kind of communication plays a significant role in the decision-making process. Base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1bcd4eccc10125d924e8e4591942c3e
https://doi.org/10.1109/sami.2015.7061881
https://doi.org/10.1109/sami.2015.7061881
Autor:
Zhao, Chuanjun1 (AUTHOR) zhaochj@sxufe.edu.cn, Wu, Meiling1 (AUTHOR) wml@stu.sxufe.edu.cn, Yang, Xinyi1 (AUTHOR) 202081203004@stu.sxufe.edu.cn, Zhang, Wenyue1 (AUTHOR) 378944128@qq.com, Zhang, Shaoxia1 (AUTHOR) 20211039@sxufe.edu.cn, Wang, Suge2 (AUTHOR) wsg@sxu.edu.cn, Li, Deyu2 (AUTHOR) lidy@sxu.edu.cn
Publikováno v:
ACM Computing Surveys. Jul2024, Vol. 56 Issue 7, p1-37. 37p.
Autor:
Kraushofer, Florian, Mirabella, Francesca, Xu, Jian, Pavelec, Jiří, Balajka, Jan, Müllner, Matthias, Resch, Nikolaus, Jakub, Zdeněk, Hulva, Jan, Meier, Matthias, Schmid, Michael, Diebold, Ulrike, Parkinson, Gareth S.
Publikováno v:
Journal of Chemical Physics; 10/21/2019, Vol. 151 Issue 15, pN.PAG-N.PAG, 8p, 2 Color Photographs, 1 Black and White Photograph, 2 Diagrams, 1 Graph
Publikováno v:
2016 IEEE 14th International Symposium on Applied Machine Intelligence & Informatics (SAMI); 2016, p7-10, 4p