Rozaida Ghazali

Nonlinear Autoregressive Moving-average (NARMA) Time Series Forecasting Using Neural Networks

2019

In this paper, a one-step forecasting comparison using a simulated nonlinear autoregressive moving-average time series (NARMA) was conducted between two groups of neural networks. Group I is neural networks that use only autoregressive inputs, while …

An Improved Deep Learning Approach based on Variant Two-State Gated Recurrent Unit and Word Embeddings for Sentiment Classification

2020 · International Journal of Advanced Computer Science and Applications

Sentiment classification is an important but challenging task in natural language processing (NLP) and has been widely used for determining the sentiment polarity from user opinions. And word embedding technique learned from a various contexts …

Text classification based on gated recurrent unit combines with support vector machine

2020 · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering

As the amount of unstructured text data that humanity produce largely and a lot of texts are grows on the Internet, so the one of the intelligent technique is require processing it and extracting different …

A comparative review on deep learning models for text classification

2020 · Indonesian Journal of Electrical Engineering and Computer Science

<p>Text classification is a fundamental task in several areas of natural language processing (NLP), including words semantic classification, sentiment analysis, question answering, or dialog management. This paper investigates three basic architectures of deep learning models …