Sentimental analysis using recurrent neural network

  • Authors

    • Merin Thomas VTU
    • Latha C.A VTU
    2018-08-02
    https://doi.org/10.14419/ijet.v7i2.27.12635
  • Sentimental Analysis, Deep Learning, Neural Network, Recurrent Neural Network.

  • Abstract

    Sentiment analysis has been an important topic of discussion from two decades since Lee published his first paper on the sentimental analysis in 2002. Apart from the sentimental analysis in English, it has spread its wing to other natural languages whose significance is very important in a multi linguistic country like India. The traditional approaches in machine learning have paved better accuracy for the Analysis. Deep Learning approaches have gained its momentum in recent years in sentimental analysis. Deep learning mimics the human learning so expectations are to meet higher levels of accuracy. In this paper we have implemented sentimental analysis of tweets in South Indian language Malayalam. The model used is Recurrent Neural Networks Long Short-Term Memory, a deep learning technique to predict the sentiments analysis. Achieved accuracy was found increasing with quality and depth of the datasets.

     

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  • How to Cite

    Thomas, M., & C.A, L. (2018). Sentimental analysis using recurrent neural network. International Journal of Engineering & Technology, 7(2.27), 88-92. https://doi.org/10.14419/ijet.v7i2.27.12635

    Received date: 2018-05-09

    Accepted date: 2018-05-28

    Published date: 2018-08-02