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» Extracting and Ranking Product Features in Opinion Documents
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TREC
2008
13 years 10 months ago
TREC 2008 at the University at Buffalo: Legal and Blog Track
In the TREC 2008, the team from the State University of New York at Buffalo participated in the Legal track and the Blog track. For the Legal track, we worked on the interactive s...
Jianqiang Wang, Ying Sun, Omar Mukhtar, Rohini K. ...
PRICAI
2000
Springer
14 years 16 days ago
Text Retrieval from Document Images based on N-Gram Algorithm
In this paper, we propose a method of text retrieval from document images using a similarity measure based on an N-Gram algorithm. We directly extract image features instead of us...
Chew Lim Tan, Sam Yuan Sung, Zhaohui Yu, Yi Xu
WWW
2010
ACM
14 years 4 months ago
Exploiting social context for review quality prediction
Online reviews in which users publish detailed commentary about their experiences and opinions with products, services, or events are extremely valuable to users who rely on them ...
Yue Lu, Panayiotis Tsaparas, Alexandros Ntoulas, L...
ADMA
2006
Springer
150views Data Mining» more  ADMA 2006»
14 years 3 months ago
Web Scale Competitor Discovery Using Mutual Information
Abstract. The web with its rapid expansion has become an excellent resource for gathering information and people’s opinion. A company owner wants to know who is the competitor, a...
Rui Li, Shenghua Bao, Jin Wang, Yuanjie Liu, Yong ...
ACL
2004
13 years 10 months ago
The Sentimental Factor: Improving Review Classification Via Human-Provided Information
Sentiment classification is the task of labeling a review document according to the polarity of its prevailing opinion (favorable or unfavorable). In approaching this problem, a m...
Philip Beineke, Trevor Hastie, Shivakumar Vaithyan...