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ICML
2005
IEEE
16 years 2 months ago
A model for handling approximate, noisy or incomplete labeling in text classification
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Ra...
ICMCS
2005
IEEE
123views Multimedia» more  ICMCS 2005»
15 years 7 months ago
Replay Scene Classification in Soccer Video Using Web Broadcast Text
The automatic extraction of sports video highlights is a typical kind of personalized media production process. Many ways have been studied from the viewpoints of lowlevel audio/v...
Jinhui Dai, Ling-Yu Duan, Xiaofeng Tong, Changshen...
KDD
2009
ACM
262views Data Mining» more  KDD 2009»
16 years 1 months ago
Sentiment analysis of blogs by combining lexical knowledge with text classification
The explosion of user-generated content on the Web has led to new opportunities and significant challenges for companies, that are increasingly concerned about monitoring the disc...
Prem Melville, Wojciech Gryc, Richard D. Lawrence
ECIR
2003
Springer
15 years 2 months ago
Representative Sampling for Text Classification Using Support Vector Machines
In order to reduce human efforts, there has been increasing interest in applying active learning for training text classifiers. This paper describes a straightforward active learni...
Zhao Xu, Kai Yu, Volker Tresp, Xiaowei Xu, Jizhi W...
ICONFERENCE
2011
14 years 4 months ago
Modeling diverse standpoints in text classification: learning to be human by modeling human values
An annotator’s classification of a text not only tells us something about the intent of the text’s author, it also tells us something about the annotator’s standpoint. To un...
Kenneth R. Fleischmann, Thomas Clay Templeton, Jor...