Unveiling Emotional Intensity in Online Reviews: Adopting Advanced Machine Learning Techniques

SJ Lee, R de Villiers - Australasian Marketing Journal, 2024 - journals.sagepub.com
The digital revolution has spurred significant growth in online reviews and user-generated
content. Traditional methods used in Marketing for analysing large datasets have limitations …

Big Data Analytics for Publishing Development: Prospects and Challenges in the Nigerian Book Industry

AA Afolabi, IA Zolkepli - International Journal of Management and …, 2023 - ejournal.lucp.net
Studies on the growth of the Nigerian book publishing industry in the multimedia landscape
reiterate the need for the deployment of innovative marketing practices, given the observed …

Research with user-generated book review data: legal and ethical pitfalls and contextualized mitigations

Y Hu, G Layne-Worthey, A Martaus, JS Downie… - International Conference …, 2023 - Springer
The growing quantity of user-generated book reviews has opened up unprecedented
opportunities for empirical research on books, reading, and readership. While there is an …

Centralized machine learning versus federated averaging: A comparison using mnist dataset

S Peng, Y Yang, M Mao, DS Park - KSII Transactions on Internet …, 2022 - koreascience.kr
A flood of information has occurred with the rise of the internet and digital devices in the
fourth industrial revolution era. Every millisecond, massive amounts of structured and …

Complexities of leveraging user-generated book reviews for scholarly research: transiency, power dynamics, and cultural dependency

Y Hu, Z LeBlanc, J Diesner, T Underwood… - International Journal on …, 2023 - Springer
In the past two decades, digital libraries (DL) have increasingly supported computational
studies of digitized books (Jett et al. The hathitrust research center extracted features dataset …

Using full-text content to characterize and identify best seller books: A study of early 20th-century literature

GD da Silva, FN Silva, HF de Arruda, BC e Souza… - Plos one, 2024 - journals.plos.org
Artistic pieces can be studied from several perspectives, one example being their reception
among readers over time. In the present work, we approach this interesting topic from the …

Complexities associated with user-generated book reviews in digital libraries: temporal, cultural, and political case studies

Y Hu, Z LeBlanc, J Diesner, T Underwood… - Proceedings of the …, 2022 - dl.acm.org
While digital libraries (DL) have made large-scale collections of digitized books increasingly
available to researchers [31, 67], there remains a dearth of similar data provisions or …

Analyzing social book reading behavior on goodreads and how it predicts amazon best sellers

SK Maity, A Panigrahi, A Mukherjee - … in Social Networks and Social Media, 2019 - Springer
A book's success/popularity depends on various parameters: extrinsic and intrinsic. In this
paper, we study how the book reading characteristics might influence the popularity of a …

Understanding book popularity on goodreads

SK Maity, A Kumar, A Mullick, V Choudhary… - Proceedings of the …, 2018 - dl.acm.org
Goodreads has launched the Readers Choice Awards since 2009 where users are able to
nominate/vote books of their choice, released in the given year. In this work, we question if …

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

P Holur, S Shahsavari… - Royal Society …, 2021 - royalsocietypublishing.org
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 …