Deep Neural Network that classifies Amharic language news articles into 4 categories ('Business', 'International News', 'Politics', and 'Sport') with an f1-score of 0.87.
# Amharic News Classification
This project implements a Deep Neural Network that uses the amharic news dataset from
here
and a word2vec Amharic word embedding from
here
to classify Amharic language news articles into 4 categories ('Business', 'International News', 'Politics', and 'Sport') with an **accuracy** of **88%**
and an **f1-score** of **0.87**.
## Code
The `AmharicNewsTextClassification.ipynb` Jupyter Notebook contains python code for the entire process from loading and cleaning
the data upto training the model.
## Result
### Classification Report
### Confusion Matrix