84 search results - page 2 / 17 » Negative Training Data Can be Harmful to Text Classification |
COLING
2008
13 years 6 months ago
2008
We describe and evaluate a new method of automatic seed word selection for unsupervised sentiment classification of product reviews in Chinese. The whole method is unsupervised an...
IJDMB
2006
13 years 5 months ago
2006
: We propose a domain-based classification method to predict protein-protein interactions using probabilities of putative interacting domain pairs derived from both experimentally-...
ICDM
2003
IEEE
13 years 10 months ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
FLAIRS
2004
13 years 6 months ago
2004
This paper presents work that uses Transductive Latent Semantic Indexing (LSI) for text classification. In addition to relying on labeled training data, we improve classification ...
AI
2010
Springer
13 years 7 months ago
2010
Springer
Error-Correcting Output Coding (ECOC) is a general framework for multiclass text classification with a set of binary classifiers. It can not only help a binary classifier solve mul...