286 search results - page 18 / 58 » Learning to Classify Texts Using Positive and Unlabeled Data |
LREC
2010
13 years 10 months ago
2010
In recent years, text classification in sentiment analysis has mostly focused on two types of classification, the distinction between objective and subjective text, i.e. subjectiv...
AAAI
2006
13 years 10 months ago
2006
Evaluating text fragments for positive and negative subjective expressions and their strength can be important in applications such as single- or multi- document summarization, do...
JMLR
2008
13 years 8 months ago
2008
Closed sets have been proven successful in the context of compacted data representation for association rule learning. However, their use is mainly descriptive, dealing only with ...
ECML
2001
Springer
14 years 1 months ago
2001
Springer
Labeled data for classification could often be obtained by sampling that restricts or favors choice of certain classes. A classifier trained using such data will be biased, resulti...
JMLR
2010
13 years 3 months ago
2010
Estimating the error rates of classifiers or regression models is a fundamental task in machine learning which has thus far been studied exclusively using supervised learning tech...