Update search
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
NARROW
Format
Journal
Type
Date
Availability
1-3 of 3
Keywords: Online reviews
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
Journal:
The Electronic Library
The Electronic Library (2025) 43 (2): 174–193.
Published: 07 February 2025
... 09 2024 30 11 2024 21 01 2025 © Emerald Publishing Limited 2025 Emerald Publishing Limited Licensed re-use rights only Online reviews Aspect categories Sentiment analysis Adaptive feature selection Decision fusion The National Social Science Fund of China...
Journal Articles
Journal:
The Electronic Library
The Electronic Library (2019) 37 (3): 563–576.
Published: 27 June 2019
...Yunseon Choi Purpose This study is part of a larger research project which aims to investigate whether sentiments in online reviews on children’s books would represent significant factors which are useful for selecting the right books for children. This paper aims to examine whether positive...
Journal Articles
Journal:
The Electronic Library
The Electronic Library (2018) 36 (6): 1010–1026.
Published: 16 October 2018
...) collected eWOM data for movies from four different types of social media, including Twitter data, online review information from Yahoo!Movies, trailer information from YouTube and blog posting information from Yahoo! Blog search, and investigated how these data affect box-office revenue in different time...
