This project performs sentiment analysis on Darija dialect texts using a pretrained DarijaBERT model, fine-tuned with LoRA (Low-Rank Adaptation). The project involves several stages including data integration, pre-processing, embedding, and model fine-tuning. The goal is to classify the sentiment of Darija text data into positive, negative, or neutral categories.
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Abdelhakim-gh/NLP_Sentiment_Analysis_Darija
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fine tuning a pre-trained model on darija dialect to work with sentiment analysis task
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