Paper Info
Title
Analysis of adjective-noun word pair extraction methods for online review summarization
Abstract
Many people read online reviews written by other users to learn more about a product or venue. However, the overwhelming amount of user-generated reviews and variance in length, detail and quality across the reviews make it difficult to glean useful information. In this paper, we present a summarization system called Review Spotlight. It provides a brief overview of reviews by using adjective-noun word pairs extracted from the review text. The system also allows the user to click any word pair to read the original sentences from which the word pair was extracted. We present our system implementation as a Google Chrome browser extension, and an evaluation on how two word pair scoring methods (TF and TF-IDF) affect the identification of useful word pairs.
Year
DOI
Venue
2011
10.5591/978-1-57735-516-8/IJCAI11-461
IJCAI
Keywords
Field
DocType
review spotlight,google chrome browser extension,summarization system,adjective-noun word pair extraction,brief overview,useful word pair,system implementation,word pair,online review,online review summarization,useful information,adjective-noun word pair
Automatic summarization,Information retrieval,Computer science,Noun,Implementation,Adjective
Conference
Citations 
PageRank 
References 
8
0.63
15
Authors
4
Name
Order
Citations
PageRank
Koji Yatani178346.02
Michael Novati2432.12
Andrew Trusty3553.43
Khai N. Truong42002162.82