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» On performance of topical opinion retrieval
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ICDM
2007
IEEE
133views Data Mining» more  ICDM 2007»
14 years 1 months ago
Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval
Most topic models, such as latent Dirichlet allocation, rely on the bag-of-words assumption. However, word order and phrases are often critical to capturing the meaning of text in...
Xuerui Wang, Andrew McCallum, Xing Wei
CLEF
2006
Springer
13 years 11 months ago
Applying Logic Forms and Statistical Methods to CL-SR Performance
This paper describes in detail the combination of NLP methods applied to the treatment of logic forms in the topic processing and statistical methods applied to the search engine ...
Rafael M. Terol, Patricio Martínez-Barco, M...
SOCIALCOM
2010
13 years 5 months ago
Opinion Summarization in Bengali: A Theme Network Model
Theme network is a semantic network of document specific themes. So far Natural Language Processing (NLP) research patronized much of topic based summarizer system, unable to captu...
Amitava Das, Sivaji Bandyopadhyay
SIGIR
2009
ACM
14 years 2 months ago
A study of inter-annotator agreement for opinion retrieval
Evaluation of sentiment analysis, like large-scale IR evaluation, relies on the accuracy of human assessors to create judgments. Subjectivity in judgments is a problem for relevan...
Adam Bermingham, Alan F. Smeaton
KDD
2010
ACM
246views Data Mining» more  KDD 2010»
13 years 5 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