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Iskander Akhmetov
PeerJ Author
270 Points

Contributions by role

Author 270

Contributions by subject area

Artificial Intelligence
Computational Linguistics
Network Science and Online Social Networks
Text Mining
Sentiment Analysis
Data Science
Natural Language and Speech
Optimization Theory and Computation

Iskander Akhmetov

PeerJ Author

Summary

Iskander Akhmetov is a Machine learning Engineer at the Institute of Information and Computational Technologies and a Kazakh-British Technical University Ph.D. student in the specialty "Information Systems," the framework of the educational program Data Science. The theme of his Ph.D. research is "Scientific text summarization approach development, "and Dr. Alexander Gelbukh is a foreign supervisor for his Ph.D. work. Iskander Akhmetov holds a master's degree in technical sciences, specializing in "Information Systems."

Artificial Intelligence Computational Linguistics Natural Language & Speech

Work details

Machine Learning Engineer

Institute of Information and Computational Technologies
June 2018
Natural Language Processing Laboratory
Participating in the Natural Language Processing research projects. Elaborating hypotheses, making experiments, building ML models, writing research reports.

Data Science laboratory coirdinator, Assistance professor, Ph.D.

Kazakh-British Technical University
September 2019
SITE

Websites

  • Google Scholar
  • LinkedIn
  • GitHub
  • ResearcherId
  • Academia.edu

PeerJ Contributions

  • Articles 3
July 31, 2025
Beyond buzzwords: NLP reveals common threads in sustainable and circular construction discourse
Shakarim Aubakirov, Alexandr Pak, Iskander Akhmetov, Aidana Tleuken, Huseyin Atakan Varol, Assel Akzhalova, Ferhat Karaca
https://doi.org/10.7717/peerj-cs.3085
December 5, 2022
Sentiment analysis of vegan related tweets using mutual information for feature selection
Elvina Shamoi, Akniyet Turdybay, Pakizar Shamoi, Iskander Akhmetov, Assel Jaxylykova, Alexandr Pak
https://doi.org/10.7717/peerj-cs.1149
September 26, 2022
Reaching for upper bound ROUGE score of extractive summarization methods
Iskander Akhmetov, Rustam Mussabayev, Alexander Gelbukh
https://doi.org/10.7717/peerj-cs.1103