News recommendation system using machine learning

  • Authors

    • Neha Rani Chandigarh University
    • Sudhir Sudhir Pathak Chandigarh University
    2018-06-05
    https://doi.org/10.14419/ijet.v7i2.27.11748
  • News Classification, ANN, SVM, Recommendation System.

  • Abstract

    The forecasting of financial news is yet becoming the main issue to divide the new into different classes on the basis of present time series. Moreover, it might be utilized for predicting and analyzing the stock market for the particular industry. Thus, the new content is significantly important to influence market forecast report. In this paper, the financial news from four countries namely America, Australia, India and South Africa along with their stop words are consider. The words along with their weighted values are determined and then the neural network is trained. Here, artificial neural network is used for classifying the appropriate results for the given input data. At last the comparison of ANN with SVM is shown. Experiments show that the ANN classification provides high accuracy to predict the news than the SVM classifier.

     

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  • How to Cite

    Rani, N., & Sudhir Pathak, S. (2018). News recommendation system using machine learning. International Journal of Engineering & Technology, 7(2.27), 32-39. https://doi.org/10.14419/ijet.v7i2.27.11748

    Received date: 2018-04-19

    Accepted date: 2018-04-30

    Published date: 2018-06-05