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Title: Automatic Keyword Extraction from Individual Documents

Book ·
OSTI ID:978967

This paper introduces a novel and domain-independent method for automatically extracting keywords, as sequences of one or more words, from individual documents. We describe the method’s configuration parameters and algorithm, and present an evaluation on a benchmark corpus of technical abstracts. We also present a method for generating lists of stop words for specific corpora and domains, and evaluate its ability to improve keyword extraction on the benchmark corpus. Finally, we apply our method of automatic keyword extraction to a corpus of news articles and define metrics for characterizing the exclusivity, essentiality, and generality of extracted keywords within a corpus.

Research Organization:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC05-76RL01830
OSTI ID:
978967
Report Number(s):
PNNL-SA-67401; 400470000; TRN: US201010%%235
Resource Relation:
Related Information: Text Mining: Application and Theory, 1:3-20
Country of Publication:
United States
Language:
English