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KDD
2005
ACM
99views Data Mining» more  KDD 2005»
16 years 1 days ago
Determining an author's native language by mining a text for errors
In this paper, we show that stylistic text features can be exploited to determine an anonymous author's native language with high accuracy. Specifically, we first use automat...
Moshe Koppel, Jonathan Schler, Kfir Zigdon
WWW
2009
ACM
16 years 9 days ago
How opinions are received by online communities: a case study on amazon.com helpfulness votes
There are many on-line settings in which users publicly express opinions. A number of these offer mechanisms for other users to evaluate these opinions; a canonical example is Ama...
Cristian Danescu-Niculescu-Mizil, Gueorgi Kossinet...
CIKM
2009
Springer
15 years 6 months ago
The effect of negation on sentiment analysis and retrieval effectiveness
We investigate the problem of determining the polarity of sentiments when one or more occurrences of a negation term such as “not” appear in a sentence. The concept of the sco...
Lifeng Jia, Clement T. Yu, Weiyi Meng
ICAIL
2009
ACM
15 years 6 months ago
Query-based opinion summarization for legal blog entries
We present the first report of automatic sentiment summarization in the legal domain. This work is based on processing a set of legal questions with a system consisting of a semi...
Jack G. Conrad, Jochen L. Leidner, Frank Schilder,...
WWW
2007
ACM
16 years 9 days ago
Topic sentiment mixture: modeling facets and opinions in weblogs
In this paper, we define the problem of topic-sentiment analysis on Weblogs and propose a novel probabilistic model to capture the mixture of topics and sentiments simultaneously....
Qiaozhu Mei, Xu Ling, Matthew Wondra, Hang Su, Che...