Sentiment Analysis to Classify Scams in Crowdfunding

  • shafqat, Wafa (Department of Computer Engineering, Jeju National University) ;
  • byun, Yung-cheol (Department of Computer Engineering, Jeju National University)
  • Published : 2021.06.01


The accelerated growth of the internet and the enormous amount of data availability has become the primary reason for machine learning applications for data analysis and, more specifically, pattern recognition and decision making. In this paper, we focused on the crowdfunding site Kickstarter and collected the comments in order to apply neural networks to classify the projects based on the sentiments of backers. The power of customer reviews and sentiment analysis has motivated us to apply this technique in crowdfunding to find timely indications and identify suspicious activities and mitigate the risk of money loss.



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