omar-sherif9992/Dialect-LLM-Bachelor-Project

The aim of the Bachelor project is to innovate a new way for Arabic (Egyptian-Dialect) Sentiment Analysis , Forecasting and Topic Modeling using Machine Learning , Deep Learning and Transformers!

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Experimental

This project helps you analyze Egyptian Arabic social media posts to understand public opinion. It takes raw tweets or other text in the Egyptian dialect and tells you whether the sentiment is positive, negative, or neutral, forecasts future sentiment trends, and identifies the main topics discussed. Government officials, marketers, or researchers can use this to gauge public sentiment and track discussions around specific events or policies.

No commits in the last 6 months.

Use this if you need to perform in-depth sentiment analysis, trend forecasting, and topic modeling on text specifically in the Egyptian Arabic dialect.

Not ideal if your data is primarily in other Arabic dialects or languages, or if you only need a simple keyword search.

social-media-analysis public-opinion egyptian-arabic sentiment-forecasting topic-discovery
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 0 / 25

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Last pushed

Nov 17, 2024

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