Automated Amharic News Categorization Using Deep Learning Models

Algorithm 2

fastText implementation.

	Input: fastText model and documents
	Out: Matrix
	model = fasttext.load_model(“cc.am.300.bin”)
	for every documentj in the corpus
	for every termi in documentj
	matrix[j, i] = model.get_word_vector(termi)
	endfor
	endfor
	end