GitHub / YassirMatrane / arabicTextClassification
After collecting 40 thousand tweets and preprocessing it, I used word embeddings with arabert and tf-idf along with two neural network architectures and 5 machine learning algorithms. Due to the huge size of the dataset, I chose Amazon SageMaker to train the models
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PURL: pkg:github/YassirMatrane/arabicTextClassification
Stars: 1
Forks: 2
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 3.09 MB
Dependencies parsed at: Pending
Created at: over 4 years ago
Updated at: over 2 years ago
Pushed at: over 4 years ago
Last synced at: about 2 years ago
Topics: arabert, flask, machine-learning-algorithms, n-gram, nlp, python, rnn, tf-idf