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How opinions are received by online communities: A case study on
  Amazon.com helpfulness votes

How opinions are received by online communities: A case study on Amazon.com helpfulness votes

21 June 2009
Cristian Danescu-Niculescu-Mizil
Gueorgi Kossinets
Jon M. Kleinberg
Lillian Lee
ArXiv (abs)PDFHTML

Papers citing "How opinions are received by online communities: A case study on Amazon.com helpfulness votes"

7 / 7 papers shown
Title
How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic
  Study Using Neural Metaphor Detection
How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection
Vinodkumar Prabhakaran
Marek Rei
Ekaterina Shutova
33
13
0
08 Apr 2021
Estimating the Rating of Reviewers Based on the Text
Estimating the Rating of Reviewers Based on the Text
M. Kavousi
Sepehr Saadatmand
27
1
0
22 May 2018
Combining Lexical and Syntactic Features for Detecting Content-dense
  Texts in News
Combining Lexical and Syntactic Features for Detecting Content-dense Texts in News
Yinfei Yang
A. Nenkova
113
2
0
03 Apr 2017
Addressing Complex and Subjective Product-Related Queries with Customer
  Reviews
Addressing Complex and Subjective Product-Related Queries with Customer Reviews
Julian McAuley
Alex Yang
62
190
0
21 Dec 2015
How Community Feedback Shapes User Behavior
How Community Feedback Shapes User Behavior
Justin Cheng
Cristian Danescu-Niculescu-Mizil
J. Leskovec
102
133
0
06 May 2014
You had me at hello: How phrasing affects memorability
You had me at hello: How phrasing affects memorability
Cristian Danescu-Niculescu-Mizil
Justin Cheng
Jon M. Kleinberg
Lillian Lee
119
107
0
28 Mar 2012
Finding Deceptive Opinion Spam by Any Stretch of the Imagination
Finding Deceptive Opinion Spam by Any Stretch of the Imagination
Myle Ott
Yejin Choi
Claire Cardie
Jeffrey T. Hancock
98
1,392
0
22 Jul 2011
1