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Sameh Al-Ansary

Biographic Data

ID9414289
NAMESameh Al-Ansary
GIVEN NAMESSameh
FAMILY NAMEAl-Ansary
SIGNATUREAL-ANSARY S
AFFILIATIONSAlexandria University
ORCID0009-0007-2950-9555
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Natural Language Processing Approaches to Text Data Augmentation

    Open Access•Hoda Zaiton, Sameh Al-Ansary•ARTICLE•International Journal of…•2025

    In the context of Natural Language Processing (NLP) tasks, problems such as insufficient or skewed data are frequently encountered. One practical solution to this problem is to generate additional textual data. Text Data Augmentation (TDA) refers to small changes made to accessible text at the character, word, or sentence level to generate synthetic data that is subsequently inserted into data loaders to train the model. By producing synthetic da…

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  • Natural Language Processing Approaches to Text Data Augmentation

    Open Access•Hoda Zaiton, Sameh Al-Ansary•ARTICLE•International Journal of…•2025

    In the context of Natural Language Processing (NLP) tasks, problems such as insufficient or skewed data are frequently encountered. One practical solution to this problem is to generate additional textual data. Text Data Augmentation (TDA) refers to small changes made to accessible text at the character, word, or sentence level to generate synthetic data that is subsequently inserted into data loaders to train the model. By producing synthetic da…

Artificial Intelligence (1 work) · Computational linguistics (1 work) · Computer Science (1 work) · Data Quality and Management (1 work) · Deep linguistic processing (1 work) · History (1 work) · Linguistic analysis (1 work) · Linguistics (1 work) · Natural language (1 work) · Natural language processing (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae