https://github.com/abdelhakim-gh/nlp_sentiment_analysis_darija
fine tuning a pre-trained model on darija dialect to work with sentiment analysis task
https://github.com/abdelhakim-gh/nlp_sentiment_analysis_darija
data-collection data-integration data-preprocessing embeddings fine-tuning-llm gradio-interface llm lora natural-language-processing vizualisation
Last synced: 6 months ago
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fine tuning a pre-trained model on darija dialect to work with sentiment analysis task
- Host: GitHub
- URL: https://github.com/abdelhakim-gh/nlp_sentiment_analysis_darija
- Owner: Abdelhakim-gh
- Created: 2024-12-31T10:03:05.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-01-10T15:49:11.000Z (9 months ago)
- Last Synced: 2025-03-28T19:38:22.011Z (7 months ago)
- Topics: data-collection, data-integration, data-preprocessing, embeddings, fine-tuning-llm, gradio-interface, llm, lora, natural-language-processing, vizualisation
- Language: Jupyter Notebook
- Homepage:
- Size: 17 MB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Darija Sentiment Analysis
## Overview
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.