Challenges, comparative analysis and a proposed methodology to predict sentiment from movie reviews using machine learning

@article{Ahmed2017ChallengesCA,
  title={Challenges, comparative analysis and a proposed methodology to predict sentiment from movie reviews using machine learning},
  author={Erfan Ahmed and Md. Asad Uzzaman Sazzad and Md. Tanzim Islam and M. A. Khayer Azad and S. M. Saiful Islam and Mohammad Haider Ali},
  journal={2017 International Conference on Big Data Analytics and Computational Intelligence (ICBDAC)},
  year={2017},
  pages={86-91}
}
This paper investigates a new approach of finding sentence level sentiment analysis using different machine learning algorithms. Three different machine learning algorithms — SVM (Support Vector Machine), Naïve Bayes and MLP (Multilayer Layer Perceptron) have been used both for sentiment analysis. Moreover two different classifiers of Naïve Bayes and two different types of SVM kernels have been used in this work to identify and analyze the difference in accuracy as well as to find the best… CONTINUE READING