Textual Content and Engagement Correlation Analysis with Naive Bayes

Tomislav Kristof (), Vanja Sebek () and Mario Fraculj ()
Additional contact information
Tomislav Kristof: University College Algebra, Zagreb, Croatia
Vanja Sebek: University College Algebra, Zagreb, Croatia
Mario Fraculj: HURA, Zagreb, Croatia

International Journal of Digital Technology and Economy, 2017, vol. 2, issue 1, 1-12

Abstract: With the constant improvement of sentiment analysis software, it is possible to determine whether there is a correlation between the sentiment of the content and the content engagement. By combining two platforms we were able to prove that there is a moderate correlation between the content sentiment and content engagement. Furthermore, there are other correlations regarding numeric variables describing the properties of the content, like content length and title length compared to the content consummation and engagement. Determined values are showing strong negative correlation between the content length and content consummation. Content platform was Medium.com social network and software platform for sentiment determination was an online tool based on enhanced Naive Bayes model. For finding correlations we used the Pearson's correlation coefficient because it gives information about the magnitude of the association, or correlation, as well as the direction of the relationship.

Keywords: natural language processing; sentiment analysis; Pearson's correlation coefficient; enhanced Naive Bayes model (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://algebra.hr/publications//ijdte/vol2_iss1/IJDTE_02_01_2017_P1.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:alg:jijdte:v:2:y:2017:i:1:p:1-12

Access Statistics for this article

More articles in International Journal of Digital Technology and Economy from Algebra University College
Bibliographic data for series maintained by Robert Kopal ().