File size: 494 Bytes
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license: mit
metrics:
- accuracy
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# Tunisian Dialect Sentiment Analysis Model
## Overview
This project implements a Natural Language Processing (NLP) model for sentiment analysis of text written in Tunisian dialect. The model is designed to classify the sentiment of given text as positive, negative, or neutral.
Labels {-1:Negative, 0:Neutral, 1:Positive}
## Features
- Sentiment analysis for Tunisian dialect text
- Classification into positive, negative, and neutral sentiments
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