scholarly journals Investigating Reading Appeal in User Generated Online Book Reviews: Reading as a Meaning Making Process

10.9776/16608 ◽  
2016 ◽  
Author(s):  
Adam Bezdicek
Keyword(s):  
Meaning Making ◽  
Online Book

scholarly journals The analysis of differences between online book reviews and those in newspapers

2010 ◽  
Vol 20 (2) ◽  
pp. 65-72
Author(s):  
Takashi HARADA ◽  
Sawako YAMASHITA
Keyword(s):  
Online Book

Online Book Reviews

2015 ◽  
Vol 52 (3) ◽  
pp. e-1
Author(s):  
Cordner
Keyword(s):  
Online Book

Online Book Reviews

2015 ◽  
Vol 52 (2) ◽  
pp. e-4
Author(s):  
Meyer
Keyword(s):  
Online Book

scholarly journals Modelling social readers: novel tools for addressing reception from online book reviews

2021 ◽  
Vol 8 (12) ◽  
Author(s):  
Pavan Holur ◽  
Shadi Shahsavari ◽  
Ehsan Ebrahimzadeh ◽  
Timothy R. Tangherlini ◽  
Vwani Roychowdhury
Keyword(s):  
Consensus Sequence ◽  
The Novel ◽  
Sequencing Algorithm ◽  
Sequence Of Events ◽  
The Social ◽  
Online Book ◽  
Shared Narrative ◽  
Insight Into ◽  
Social Reading

Social reading sites offer an opportunity to capture a segment of readers’ responses to literature, while data-driven analysis of these responses can provide new critical insight into how people ‘read’. Posts discussing an individual book on the social reading site, Goodreads , are referred to as ‘reviews’, and consist of summaries, opinions, quotes or some mixture of these. Computationally modelling these reviews allows one to discover the non-professional discussion space about a work, including an aggregated summary of the work’s plot, an implicit sequencing of various subplots and readers’ impressions of main characters. We develop a pipeline of interlocking computational tools to extract a representation of this reader-generated shared narrative model. Using a corpus of reviews of five popular novels, we discover readers’ distillation of the novels’ main storylines and their sequencing, as well as the readers’ varying impressions of characters in the novel. In so doing, we make three important contributions to the study of infinite-vocabulary networks: (i) an automatically derived narrative network that includes meta-actants; (ii) a sequencing algorithm, REV2SEQ, that generates a consensus sequence of events based on partial trajectories aggregated from reviews, and (iii) an ‘impressions’ algorithm, SENT2IMP, that provides multi-modal insight into readers’ opinions of characters.

Online Book Reviews

2015 ◽  
Vol 52 (2) ◽  
pp. e-1
Author(s):  
Zu
Keyword(s):  
Online Book

scholarly journals The Effect of Word of Mouth on Sales: Online Book Reviews

2006 ◽  
Vol 43 (3) ◽  
pp. 345-354 ◽  
Author(s):  
Judith A. Chevalier ◽  
Dina Mayzlin
Keyword(s):  
Word Of Mouth ◽  
Online Book

scholarly journals The Quality Evaluation of Online Book Reviews Based on Graph Neural Network

2021 ◽  
Vol 2010 (1) ◽  
pp. 012080
Author(s):  
Can Zhang ◽  
Wei Liu ◽  
Qi Mu ◽  
Deshan Zhang ◽  
Fancheng Meng
Keyword(s):  
Neural Network ◽  
Quality Evaluation ◽  
Online Book
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