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» Imbalanced sentiment classification
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FLAIRS
2006
13 years 9 months ago
Machine Learning for Imbalanced Datasets: Application in Medical Diagnostic
In this paper, we present a new rule induction algorithm for machine learning in medical diagnosis. Medical datasets, as many other real-world datasets, exhibit an imbalanced clas...
Luis Mena, Jesus A. Gonzalez
EMNLP
2009
13 years 5 months ago
Review Sentiment Scoring via a Parse-and-Paraphrase Paradigm
This paper presents a parse-and-paraphrase paradigm to assess the degrees of sentiment for product reviews. Sentiment identification has been well studied; however, most previous ...
Jingjing Liu, Stephanie Seneff
ACL
2008
13 years 9 months ago
The Good, the Bad, and the Unknown: Morphosyllabic Sentiment Tagging of Unseen Words
The omnipresence of unknown words is a problem that any NLP component needs to address in some form. While there exist many established techniques for dealing with unknown words i...
Karo Moilanen, Stephen G. Pulman
ACL
2009
13 years 5 months ago
A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge
Sentiment classification refers to the task of automatically identifying whether a given piece of text expresses positive or negative opinion towards a subject at hand. The prolif...
Tao Li, Yi Zhang 0005, Vikas Sindhwani
ESWA
2008
131views more  ESWA 2008»
13 years 7 months ago
Classification of weld flaws with imbalanced class data
This paper presents research results of our investigation of the imbalanced data problem in the classification of different types of weld flaws, a multi-class classification probl...
T. Warren Liao