Semantic analysis based customer reviews feature extraction
Joint Authors
Bilal, Ghida A.
Shalan, Rasha N.
Source
Journal of Babylon University : Journal of Applied and Pure Sciences
Issue
Vol. 25, Issue 3 (30 Sep. 2017), pp.802-813, 12 p.
Publisher
Publication Date
2017-09-30
Country of Publication
Iraq
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
A set of customers’ reviews about restaurants has been analyzed syntactically and semantically for deducing syntactic, contextual and semantic features to leverage the textual similarity metrics.
In this paper an approach for rule based extracting semantic features from customer’s reviews have been proposed.
The features were extracted based on the knowledge base, co-occurrence and distributional similarity among the reviews’ aspects and descriptors.
The approach was applied on the Yelp academic challenges dataset and the results have shown encouraging performance.-
American Psychological Association (APA)
Bilal, Ghida A.& Shalan, Rasha N.. 2017. Semantic analysis based customer reviews feature extraction. Journal of Babylon University : Journal of Applied and Pure Sciences،Vol. 25, no. 3, pp.802-813.
https://search.emarefa.net/detail/BIM-1141194
Modern Language Association (MLA)
Bilal, Ghida A.& Shalan, Rasha N.. Semantic analysis based customer reviews feature extraction. Journal of Babylon University : Journal of Applied and Pure Sciences Vol. 25, no. 3 (2017), pp.802-813.
https://search.emarefa.net/detail/BIM-1141194
American Medical Association (AMA)
Bilal, Ghida A.& Shalan, Rasha N.. Semantic analysis based customer reviews feature extraction. Journal of Babylon University : Journal of Applied and Pure Sciences. 2017. Vol. 25, no. 3, pp.802-813.
https://search.emarefa.net/detail/BIM-1141194
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 813
Record ID
BIM-1141194
