Python Arabic Tweets sentiment classifier (85% score)
Among what the code include:
- (~ 1955 Arabic text Tweets)
- Tweet Pre-Processing function (Unicode blocks range method included).
- Naïve Bays Implementation ( including Log Prior, n_gram, undercount filter, scaler, polynomial features, and up to (9) classifiers for training comparison)
- Tensorflow approach (up to (11) activation functions and (7) optimizers for training comparison)
- Count Vectorizer approach (Also multiple classifiers for training review)
- Data pipeline Implementation
# code is ready on google Colab and all need files are linked to the cloud (Github)
License type: "1 paid end product". Read more.
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