Sentiment Analysis for Movies Reviews Dataset Using Deep Learning Models

International Journal of Data Mining & Knowledge Management Process (IJDKP) Vol.9, No.2/3, May 2019

9 Pages Posted: 20 Jun 2019

See all articles by Nehal Mohamed Ali

Nehal Mohamed Ali

Arab Academy for Science, Technology & Maritime Transport

Marwa Mostafa Abd El Hamid

affiliation not provided to SSRN

Aliaa Youssif

affiliation not provided to SSRN

Date Written: June 14, 2019

Abstract

Due to the enormous amount of data and opinions being produced, shared and transferred everyday across the internet and other media, Sentiment analysis has become vital for developing opinion mining systems. This paper introduces a developed classification sentiment analysis using deep learning networks and introduces comparative results of different deep learning networks. Multilayer Perceptron (MLP) was developed as a baseline for other networks results. Long short-term memory (LSTM) recurrent neural network, Convolutional Neural Network (CNN) in addition to a hybrid model of LSTM and CNN were developed and applied on IMDB dataset consists of 50K movies reviews files. Dataset was divided to 50% positive reviews and 50% negative reviews. The data was initially pre-processed using Word2Vec and word embedding was applied accordingly. The results have shown that, the hybrid CNN_LSTM model have outperformed the MLP and singular CNN and LSTM networks. CNN_LSTM have reported the accuracy of 89.2% while CNN has given accuracy of 87.7%, while MLP and LSTM have reported accuracy of 86.74% and 86.64 respectively. Moreover, the results have elaborated that the proposed deep learning models have also outperformed SVM, Naïve Bayes and RNTN that were published in other works using English datasets.

Keywords: Deep learning, LSTM, CNN, Sentiment Analysis, Movies Reviews, Binary Classification

Suggested Citation

Ali, Nehal Mohamed and Abd El Hamid, Marwa Mostafa and Youssif, Aliaa, Sentiment Analysis for Movies Reviews Dataset Using Deep Learning Models (June 14, 2019). International Journal of Data Mining & Knowledge Management Process (IJDKP) Vol.9, No.2/3, May 2019, Available at SSRN: https://ssrn.com/abstract=3403985

Nehal Mohamed Ali (Contact Author)

Arab Academy for Science, Technology & Maritime Transport

Alexandria Desert Rd.
Giza, 1029
Egypt

Marwa Mostafa Abd El Hamid

affiliation not provided to SSRN

Aliaa Youssif

affiliation not provided to SSRN

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
425
Abstract Views
1,198
rank
80,006
PlumX Metrics