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RamiIbrahim2002/Tunisian-Arabiz

Domain:

natural language processing

Record type:

model
Creator:
Ram
Host:
# Tunisian Sentiment Analysis Model This model predicts the sentiment of Tunisian text as either Positive or Negative. It works with both Tunisian Arabiz and standard Arabic script. ## What is Tunisian Arabiz? / ما هي العربيزية التونسية؟ Tunisian Arabiz is a way of writing the Tunisian dialect using Latin characters and numbers. For example: * "3ajbetni" means "I liked it" * "7aja" means "thing" * "a3tini 9ahwa" means "give me a coffee" Try the examples below or enter your own text! !جرب الأمثلة أو أدخل نصك الخاص ## Usage [Insert instructions on how to use the model here] ## Examples 1. 3jebni barcha el film hedha 2. ma7abitch el mekla mte3 el restaurant 3. el jaw fi tounes a7la 7aja 4. ennes el kol te3ba w ma3andhomch flous 5. كان جات الدنيا دنيا راني ساهرة في دار حماتي 6. مبابي مانستعرف بيه مدريدي كان مانشوفو مركى هاتريك بمريول الريال ## About the Model This sentiment analysis model was trained on a combined dataset from TuniziDataset and the Tunisian Dialect Corpus. It uses TF-IDF vectorization for feature extraction and Logistic Regression for classification. The model accepts Tunisian Arabiz written with Latin and Arabic script. ## Limitations - Due to dataset limitations, neutral sentiment data was removed to achieve maximum performance. - The model may not perform well on very colloquial expressions or new slang terms not present in the training data. - Sentiment can be nuanced and context-dependent, which may not always be captured accurately by this model. This model is open-source, and contributions of additional datasets are welcome to improve its capabilities. هذا النموذج مفتوح المصدر، ونرحب بمساهمات مجموعات البيانات الإضافية لتحسين قدراته.