/Arabic_Dialect_Identification_NLP-AIM-Task

Arabic_Dialect_Identification_NLP-AIM-Task

Primary LanguageJupyter NotebookMIT LicenseMIT

Arabic_Dialect_Identification_NLP-AIM-Task

Arabic has a widely varying collection of dialects. Many of these dialects remain under-studied due to the rarity of resources.

The goal of AIM task is to classifying the dialect of the tweet writer given the tweet itself.

I used two approches:

1- Machine Learning Aproach Using LinearSVC
2- Deep Learning Approach Using AraBERT Transformer

Deep Learning AraBERT Fine Tuning:

I fine tuned AraBERTv0.2-Twitter base/large you found in this link and the models weights in this drive link
To use AraBERT Models go to the NoteBook Folder or This CoLab Link

The Deployment is by Machine learning model and steps to run the flask

1- Download the pkl model from the drive in this link
2- Put the Model in the Flask_Deployment Folder
3- From CMD flask run

Deployment

Simply Easy Learning

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Simply Easy Learning