Keyword extraction using multiple novel features

From WikiPapers
Jump to: navigation, search

Keyword extraction using multiple novel features is a 2014 journal article written in English by Yang S., Zhang B., Li S., Yu C., Hao Q. and published in Journal of Computational Information Systems.

[edit] Abstract

In this paper, we propose a novel approach for keyword extraction. Different from previous keyword extraction methods, which identify keywords based on the document alone, this approach introduces Wikipedia knowledge and document genre to extract keywords from the document. Keyword extraction is accomplished by a classification model utilizing not only traditional word based features but also features based on Wikipedia knowledge and document genre. In our experiment, this novel keyword extraction approach outperforms previous models for keyword extraction in terms of precision-recall metric and breaks through the plateau previously reached in the field. © 2014 Binary Information Press.

[edit] References

This section requires expansion. Please, help!

Cited by

Probably, this publication is cited by others, but there are no articles available for them in WikiPapers.