84 search results - page 1 / 17 » Negative Training Data Can be Harmful to Text Classification |
EMNLP
2010
13 years 2 months ago
2010
This paper studies the effects of training data on binary text classification and postulates that negative training data is not needed and may even be harmful for the task. Tradit...
IJCAI
2003
13 years 6 months ago
2003
In traditional text classification, a classifier is built using labeled training documents of every class. This paper studies a different problem. Given a set P of documents of a ...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
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...
NAACL
2003
13 years 6 months ago
2003
A serious bottleneck in the development of trainable text summarization systems is the shortage of training data. Constructing such data is a very tedious task, especially because...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
As the amount of online text increases, the demand for text classification to aid the analysis and management of text is increasing. Text is cheap, but information, in the form of...