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https://github.com/labrijisaad/sentiment-analysis-on-the-quran-karim-dataset

In this notebook, I attempted to create a script that utilizes pre-trained CamemBERT and VaderSentiment models to label the sentiment of a Quran Karim dataset in English and French. My goal was to accurately classify the sentiment of each text sample in the dataset.
https://github.com/labrijisaad/sentiment-analysis-on-the-quran-karim-dataset

camembert deep-learning machine-learning natural-language-processing quran-karim sentiment-analysis text-classification vader-sentiment

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In this notebook, I attempted to create a script that utilizes pre-trained CamemBERT and VaderSentiment models to label the sentiment of a Quran Karim dataset in English and French. My goal was to accurately classify the sentiment of each text sample in the dataset.

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# 📊 `Sentiment analysis` on the Quran Karim dataset ☪️️



This notebook aims to **`label the sentiment of a Quran Karim dataset`** (in English and French) using pre-trained **`CamemBERT`** and **`VaderSentiment`** models. The labeled dataset can then be used to train sentiment analysis models on rare languages, such as Wolof.

# 🎯 Objectives
- **`Label the sentiment of a Quran Karim dataset`** using pre-trained **CamemBERT** and **VaderSentiment** models.
- Use the labeled dataset to train sentiment analysis models on rare languages

# 🙌 Author
- 🙌 Notebook made by [@labriji_saad](https://github.com/labrijisaad)
- 🔗 Linledin [@labriji_saad](https://www.linkedin.com/in/labrijisaad/)
- 📫 Feel free to contact me if anything is wrong or if anything needs to be changed 😎! **[email protected]**

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