Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Banu Zh. Yergesh"'
Publikováno v:
Вестник Алматинского университета энергетики и связи. :111-118
Publikováno v:
Web Intelligence. 17:9-15
Publikováno v:
Brain Informatics ISBN: 9783030869922
BI
BI
Over the past year, distance learning has become an integral part of our lives and a rapidly developing field. Compared to traditional classroom learning, online learning has advantages such as no place restrictions and a wide range of interactions.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2f1b135af23e77fab0bbe9aabd54fd2
https://doi.org/10.1007/978-3-030-86993-9_16
https://doi.org/10.1007/978-3-030-86993-9_16
Publikováno v:
Computational Science and Its Applications – ICCSA 2020 ISBN: 9783030588014
ICCSA (2)
ICCSA (2)
This paper describes characteristics which affect the sentiment analysis in the Kazakh language texts, models of morphological rules and morphological analysis algorithms, formal models of simple sentence structures in the Kazakh-Turkish combination,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb2f974f12db3750355cf8d899ecf553
https://doi.org/10.1007/978-3-030-58802-1_38
https://doi.org/10.1007/978-3-030-58802-1_38
Publikováno v:
2017 International Conference on Computer Science and Engineering (UBMK).
We studied the texts in Kazakh and determined the parts of speech that define the text mood. Based on the conducted studies a lot of phrases were identified as determining the mood of the text. The technique of fuzzy inference associated with the est
Publikováno v:
2017 International Conference on Engineering and Technology (ICET).
The principal idea of this article is to establish the database of hotel fake reviews in order to compare the actual reviews with generated automatically. Here we propose the ontology model of hotel services and ontology models of Simple sentences. T
Publikováno v:
Computational Science and Its Applications – ICCSA 2017 ISBN: 9783319623979
ICCSA (3)
ICCSA (3)
Sentiment analysis one of the important and interesting task in natural languages. A number of resources and tools have been developed for sentiment analysis of English, Turkish, Russian and other languages. Unfortunately, there was no data and tools
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cfbe520e86af77c88e7d2e86abec289
https://doi.org/10.1007/978-3-319-62398-6_47
https://doi.org/10.1007/978-3-319-62398-6_47
Autor:
Arman Kaliyev, Assel S. Mukanova, Aigerim K. Buribayeva, Gulmira Bekmanova, Altynbek A. Sharipbaev, Banu Zh. Yergesh
Publikováno v:
SCIS&ISIS
The paper presents a formalization of morphological rules agglutinative languages as an example of Kazakh language. For formalization of morphological rules is proposed to use semantic neural network.