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» A New Method for Sentiment Classification in Text Retrieval
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NAACL
2007
13 years 9 months ago
Using "Annotator Rationales" to Improve Machine Learning for Text Categorization
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
Omar Zaidan, Jason Eisner, Christine D. Piatko
SIGIR
2006
ACM
14 years 1 months ago
Identifying comparative sentences in text documents
This paper studies the problem of identifying comparative sentences in text documents. The problem is related to but quite different from sentiment/opinion sentence identification...
Nitin Jindal, Bing Liu
BIRD
2007
Springer
13 years 11 months ago
An Evaluation of Text Retrieval Methods for Similarity Search of Multi-dimensional NMR-Spectra
Abstract. Searching and mining nuclear magnetic resonance (NMR)spectra of naturally occurring substances is an important task to investigate new potentially useful chemical compoun...
Alexander Hinneburg, Andrea Porzel, Karina Wolfram
CIKM
2008
Springer
13 years 9 months ago
Kernel methods, syntax and semantics for relational text categorization
Previous work on Natural Language Processing for Information Retrieval has shown the inadequateness of semantic and syntactic structures for both document retrieval and categoriza...
Alessandro Moschitti
KDD
2010
ACM
246views Data Mining» more  KDD 2010»
13 years 6 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