Cited By
View all- Fleck RCowan BDarmanin EWang Y(2019)Understanding and Encouraging Online Reviewing With a Selection-Based Review SystemInteracting with Computers10.1093/iwc/iwz02931:5(446-464)Online publication date: 12-Dec-2019
A Two-Iteration Clustering Method to Reveal Unique and Hidden Characteristics of Items Based on Text Reviews
Pages 637 - 642
Abstract
This paper presents a new method for extracting unique features of items based on their textual reviews. The method is built of two similar iterations of applying a weighting scheme and then clustering the resultant set of vectors. In the first iteration, restaurants of similar food genres are grouped together into clusters. The second iteration reduces the importance of common terms in each such cluster, and highlights those that are unique to each specific restaurant. Clustering the restaurants again, now according to their unique features, reveals very interesting connections between the restaurants.
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- A Two-Iteration Clustering Method to Reveal Unique and Hidden Characteristics of Items Based on Text Reviews
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Published In
May 2015
1602 pages
ISBN:9781450334730
DOI:10.1145/2740908
- General Chairs:
- Aldo Gangemi,
- Stefano Leonardi,
- Alessandro Panconesi
Copyright © 2015 Copyright is held by the International World Wide Web Conference Committee (IW3C2).
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Association for Computing Machinery
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Published: 18 May 2015
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Cited By
View all- Fleck RCowan BDarmanin EWang Y(2019)Understanding and Encouraging Online Reviewing With a Selection-Based Review SystemInteracting with Computers10.1093/iwc/iwz02931:5(446-464)Online publication date: 12-Dec-2019
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