TY - CONF
T1 - Online Book Reviews and the Computational Modelling of Reading Impact
AU - Koolen, Marijn
AU - Boot, P.
AU - van Zundert, Joris J.
PY - 2020
Y1 - 2020
N2 - In online book reviews readers often describe their reading experience and the impression that a book left. The great volume of online reviews makes these reviews a great source for investigating the impact books have on readers. Recently, a reading impact model was introduced that can be used to automatically identify expressions of reading impact in Dutch reviews and that is able categorise them according to emotional impact, aesthetic or narrative feeling, or feelings of reflection. This paper provides an analysis of the characteristics of the book review domain that affect how this computational model identifies impact. We look at features like the length of reviews, the nature of the website on which the review was published, the genre of book and the characteristics of the reviewer. The findings in this paper provide insight in how different selection criteria for reviews can be used to study various aspects of reading impact.
AB - In online book reviews readers often describe their reading experience and the impression that a book left. The great volume of online reviews makes these reviews a great source for investigating the impact books have on readers. Recently, a reading impact model was introduced that can be used to automatically identify expressions of reading impact in Dutch reviews and that is able categorise them according to emotional impact, aesthetic or narrative feeling, or feelings of reflection. This paper provides an analysis of the characteristics of the book review domain that affect how this computational model identifies impact. We look at features like the length of reviews, the nature of the website on which the review was published, the genre of book and the characteristics of the reviewer. The findings in this paper provide insight in how different selection criteria for reviews can be used to study various aspects of reading impact.
KW - Digital Literary Studies
KW - Reading Impact
KW - Online Book Reviews
KW - Dataset Characteristics
UR - http://ceur-ws.org/Vol-2723/
M3 - Paper
SP - 149
EP - 169
ER -