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文章基本信息

  • 标题:Analysis of Social Networking Platforms to Predict Stock Market Changes
  • 本地全文:下载
  • 作者:Rohit Vincent ; Rohini V
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2016
  • 卷号:33
  • 期号:1
  • 页码:40-42
  • DOI:10.14445/22312803/IJCTT-V33P109
  • 出版社:Seventh Sense Research Group
  • 摘要:This paper aims at creating a selflearning classifier model that classifies a text or phrase as positive or negative and provide a decision on the current stock market changes based on various information. The classifier plots a graph along with the user sentiments and the future prediction allowing the user to decide whether to invest in the stock or not.
  • 关键词:Naïve Bayes; Self-learning System; Feature selection; Stock Market Prediction; LinearRegression
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