RESEARCHER PROFILE

Fatma Howedi

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Alasmarya Islamic University

Natural Language Processing TechniquesText and Document Classification TechnologiesAuthorship Attribution and ProfilingTopic ModelingSentiment Analysis and Opinion Mining

Fatma Howedi works in Natural Language Processing Techniques, Text and Document Classification Technologies, Authorship Attribution and Profiling, Topic Modeling, Sentiment Analysis and Opinion Mining. Recorded institutional associations include Alasmarya Islamic University.

5Publications
43Citations
2H-index

ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. Text Classification for Authorship Attribution Using Naive Bayes Classifier with Limited Training Data

    2014 · 41 citations

  2. Authorship Attribution of Short Historical Arabic Texts using Stylometric Features and a KNN Classifier with Limited Training Data

    2020 · 2 citations

  3. Analysis of Libyan Dialect Sentiment Using AraBERT and MARBERT: A Comparative Study

    2025 · 0 citations

  4. Punctuation Marks Effect on Arabic Authorship Attribution Using a Variable Length of Character N-grams

    2023 · 0 citations

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