A Study on Utilization of Chi-square Analysis in Text Analytics Studies


Cesur E. , Işık M.

International Conference On Recent Advances in Pure and Applied Mathematics, İstanbul, Turkey, 12 - 15 June 2019, pp.1

  • Publication Type: Conference Paper / Full Text
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.1

Abstract

Text analytics method has been becoming very populer in various field such as emotion analysis and removing subject from texts. It could be possible both to know customer approaches, prefers and needs with this method and to rearrange particular strategies based on acquired results. Analysis studies such as the 2  test are known as feature extraction studies and these studies are used in various fields such as classification and clustering. Specially, 2  test is a method utilized to determine the relationship between two variables statistically. Within the scope of this study, 2  test is used in text analytics to find out whether there is a relationship between the words that make up the text and the notes assigned to these texts. Customer comments will be broken down into the words that form them. After the decomposition process, the existence of the relationship between the words and the labels of the comments will be tested.