Team YahyaD11 at the Mowjaz Multi-Topic Labelling Task

Abstract

This paper focuses of my enrollment in ICICS 2021 Competition Mowjaz Multi-Topic Labelling Task using Bidirectional Gated Recurrent Unit (Bi-GRU). The model is basically used to classify articles based on their topics that are present within its content. Mowjaz’s topic are classified into ten categories and an article can be classified as under as many topics as it covers. In the evaluation, we regard the Mowjaz Multi-Topic labelling task as multi-classification task and use Unigram models to extract features to train a neural network classifier. In the result, the accuracy of my method reached 0.8232, ranking 8th .