Distributed sentiment analysis of an agglutinative language via Spark by applying machine learning methods-Reference-Cited by-同舟云学术

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Distributed sentiment analysis of an agglutinative language via Spark by applying machine learning methods

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 15th International Conference on Electronics, Computer and Computation (ICECCO)
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Author:

Serek Azamat,Issabek Ainur,Bogdanchikov Andrey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9034467/9043181/09043264.pdf?arnumber=9043264

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. COMPARATIVE EFFECTIVENESS OF RULE-BASED AND MACHINE LEARNING METHODS IN SENTIMENT ANALYSIS OF KAZAKH LANGUAGE TEXTS;Scientific Journal of Astana IT University;2024-05-20

2. Defining Semantically Close Words of Kazakh Language with Distributed System Apache Spark;Big Data and Cognitive Computing;2023-09-27

3. Recommendation System for Human Resource Management by the Use of Apache Spark Cluster;2023 17th International Conference on Electronics Computer and Computation (ICECCO);2023-06-01

4. Application of k-means in the perception of supervisors from students’ side;2021 16th International Conference on Electronics Computer and Computation (ICECCO);2021-11-25

5. Part-of-speech tagging of Kazakh text via LSTM network with a bidirectional modifier;2021 16th International Conference on Electronics Computer and Computation (ICECCO);2021-11-25

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