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» Movie Reviews and Revenues: An Experiment in Text Regression
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NAACL
2010
13 years 2 months ago
Movie Reviews and Revenues: An Experiment in Text Regression
We consider the problem of predicting a movie's opening weekend revenue. Previous work on this problem has used metadata about a movie--e.g., its genre, MPAA rating, and cast...
Mahesh Joshi, Dipanjan Das, Kevin Gimpel, Noah A. ...
KDD
2010
ACM
246views Data Mining» more  KDD 2010»
13 years 3 months ago
Latent aspect rating analysis on review text data: a rating regression approach
In this paper, we define and study a new opinionated text data analysis problem called Latent Aspect Rating Analysis (LARA), which aims at analyzing opinions expressed about an e...
Hongning Wang, Yue Lu, Chengxiang Zhai
WEBDB
2009
Springer
159views Database» more  WEBDB 2009»
13 years 11 months ago
Beyond the Stars: Improving Rating Predictions using Review Text Content
Online reviews are an important asset for users deciding to buy a product, see a movie, or go to a restaurant, as well as for businesses tracking user feedback. However, most revi...
Gayatree Ganu, Noemie Elhadad, Amélie Maria...
COLING
2010
12 years 11 months ago
The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns
The problem addressed in this paper is to predict a user's numeric rating in a product review from the text of the review. Unigram and n-gram representations of text are comm...
Lizhen Qu, Georgiana Ifrim, Gerhard Weikum
CIKM
2009
Springer
13 years 11 months ago
A translation model for matching reviews to objects
We develop a generic method for the review matching problem, which is to match unstructured text reviews to a list of objects, where each object has a set of attributes. To this e...
Nilesh N. Dalvi, Ravi Kumar, Bo Pang, Andrew Tomki...