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ECIR
2008
Springer
13 years 7 months ago
Semi-supervised Document Classification with a Mislabeling Error Model
Abstract. This paper investigates a new extension of the Probabilistic Latent Semantic Analysis (PLSA) model [6] for text classification where the training set is partially labeled...
Anastasia Krithara, Massih-Reza Amini, Jean-Michel...
LREC
2010
443views Education» more  LREC 2010»
13 years 7 months ago
Interpreting SentiWordNet for Opinion Classification
We describe a set of tools, resources, and experiments for opinion classification in business-related datasources in two languages. In particular we concentrate on SentiWordNet te...
Horacio Saggion, Adam Funk
NIPS
2008
13 years 7 months ago
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan
SIGIR
2002
ACM
13 years 5 months ago
Unsupervised document classification using sequential information maximization
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...
Noam Slonim, Nir Friedman, Naftali Tishby
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
14 years 6 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler