| Autor: |
Zhetkenbay, Lena, Bekmanova, Gulmira, Yergesh, Banu, Sharipbay, Altynbek |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Computational Science and Its Applications – ICCSA 2020 |
| Popis: |
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, models and methods of sentiment analysis of texts in the Kazakh language. The studies carried out to compare the morphological and syntactic rules of the Kazakh and Turkish languages prove their closeness by structure. In this respect, we can assume that taking into account sentiment in machine translation for these combinations of languages will give a good result at preserving the text meaning. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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