Automatic extraction of keywords from abstracts

Yaakov Hacohen-Kerner

doi:10.1007/978-3-540-45224-9_112

Automatic extraction of keywords from abstracts

Yaakov Hacohen-Kerner

Jerusalem College of Technology

Research output: Contribution to journal › Conference article › peer-review

45 Scopus citations

Abstract

The rapid increasing of online information is hard to handle. Summaries such as abstracts help us to reduce this problem. Keywords, which can be regarded as very short summaries, may help even more. Filtering documents by using keywords may save precious time while searching. However, most of the documents do not include keywords. In this paper we present a model that extracts keywords from abstracts and titles. This model has been implemented in a prototype system. We have tested our model on a set of abstracts of Academic papers containing keywords composed by their authors. Results show that keywords extracted from abstracts and titles may be a primary tool for researchers.

Original language	English
Pages (from-to)	843-849
Number of pages	7
Journal	Lecture Notes in Computer Science
Volume	2773 PART 1
DOIs	https://doi.org/10.1007/978-3-540-45224-9_112
State	Published - 2003
Externally published	Yes
Event	7th International Conference, KES 2003 - Oxford, United Kingdom Duration: 3 Sep 2003 → 5 Sep 2003

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10.1007/978-3-540-45224-9_112

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Automatic extraction of keywords from abstracts

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