Conceptual Extraction of Compound Korean Keywords


Samuel Sangkon Lee, Journal of Information Processing Systems Vol. 16, No. 2, pp. 447-459, Apr. 2020

10.3745/JIPS.02.0131
Keywords: Concept Word with Co-occurrence, Importance of the Keyword Candidate, Keyword Extraction, Keyword Pattern, Production Rule, Relation of Sentential Distance and Conceptual Distance
Fulltext:

Abstract

After reading a document, people construct a concept about the information they consumed and merge multiple words to set up keywords that represent the material. With that in mind, this study suggests a smarter and more efficient keyword extraction method wherein scholarly journals are used as the basis for the establishment of production rules based on a concept information of words appearing in a document in a way in which authorprovided keywords are functional although they do not appear in the body of the document. This study presents a new way to determine the importance of each keyword, excluding non-relevant keywords. To identify the validity of extracted keywords, titles and abstracts of journals about natural language and auditory language were collected for analysis. The comparison of author-provided keywords with the keyword results of the developed system showed that the developed system was highly useful, with an accuracy rate as good as up to 96%.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.




Cite this article
[APA Style]
Samuel Sangkon Lee (2020). Conceptual Extraction of Compound Korean Keywords. Journal of Information Processing Systems, 16(2), 447-459. DOI: 10.3745/JIPS.02.0131.

[IEEE Style]
S. S. Lee, "Conceptual Extraction of Compound Korean Keywords," Journal of Information Processing Systems, vol. 16, no. 2, pp. 447-459, 2020. DOI: 10.3745/JIPS.02.0131.

[ACM Style]
Samuel Sangkon Lee. 2020. Conceptual Extraction of Compound Korean Keywords. Journal of Information Processing Systems, 16, 2, (2020), 447-459. DOI: 10.3745/JIPS.02.0131.