handwritten word recognition with IAM dataset using CNN-Bi-LSTM and Bi-GRU implementation.
Official repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700
This paper consists of all source codes related to the paper "An Efficient Framework for Vietnamese Sentiment Analysis", SOMET 2020.
Implementation of CNN and bi-GRU in parallel to solve text classification. In this particular example, I and my colleague, Ida Novindasari, use the AG news dataset from torchtext.datasets.
Stroke diagnosis
A comparison of different machine learning models for hate speech detection. Trained on a twitter hate speech dataset with more than 25K records.
Given 10 predefined relations like cause-effect, product-producer, etc., the goal was to define the relation and the direction of the relation between 2 entities in a sentence.
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