286 search results - page 29 / 58 » Learning to Classify Texts Using Positive and Unlabeled Data |
ICML
2000
IEEE
15 years 10 months ago
2000
IEEE
As opposed to traditional supervised learning, multiple-instance learning concerns the problem of classifying a bag of instances, given bags that are labeled by a teacher as being...
115
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WWW
2010
ACM
14 years 10 months ago
2010
ACM
Sentiment classification aims to automatically predict sentiment polarity (e.g., positive or negative) of users publishing sentiment data (e.g., reviews, blogs). Although traditio...
AI
2007
Springer
15 years 1 months ago
2007
Springer
This study emphasizes the importance of using appropriate measures in particular text classification settings. We focus on methods that evaluate how well a classifier performs. The...
195
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WWW
2011
ACM
14 years 4 months ago
2011
ACM
The explosion of Web opinion data has made essential the need for automatic tools to analyze and understand people’s sentiments toward different topics. In most sentiment analy...
85
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CVPR
2010
IEEE
15 years 4 months ago
2010
IEEE
Web image search using text queries has received considerable attention. However, current state-of-the-art approaches require training models for every new query, and are therefore...