waadalhoshan/FemTechArabic: FemTech Arabic Package - Paper Submission

Replication Package for: "Prioritized Perspectives and Concerns in Arabic Reviews of FemTech Apps: A Mixed Method of Topic Modeling and Multi-Criteria Analysis" This repository contains the replication materials for the study analyzing Arabic-language user reviews of Female Technology (FemTech) apps across the MENA region. Contents: Supplementary File 1: Complete list of included FemTech apps with platform and metadata Supplementary File 2: Word cloud visualizations for all 50 extracted topics Supplementary File 3: Representative sample reviews for each theme Supplementary File 4: AHP-TOPSIS weights and theme ranking calculations Methods Overview: Dialect normalization: Modern Standard Arabic (MSA) Sentiment analysis: CAMeL Lab transformer-based Arabic model Topic modeling: BERTopic with AraBERTv2 embeddings + HDBSCAN clustering Prioritization: Analytic Hierarchy Process (AHP) + TOPSIS Keywords: FemTech, Arabic NLP, app reviews, topic modeling, BERTopic, sentiment analysis, MENA, women's health, multi-criteria decision making Author: Waad Alhoshan Contact: wmaboud@imamu.edu.sa