Method of determining of keywords in English texts based on the DKPro Core

2016

Closed access Metadata (CSL-JSON)
DOI 10.1117/12.2249225
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

The new method of the keywords determining based on finding the connections between word forms of the English text with the instrumental capabilities of package DKPro Core is suggested in this article. The method, which is illustrated with examples of analysis, aimed at solving problems of efficient processing of text documents – indexing, abstracting, clustering and classification. As a result of theoretical and experimental studies it is found that the developed method found more keywords, specified by the author of the text, compared to analogues and had better quality characteristics. The proposed method of determining of the keywords differs from existing in that it uses additional information about the complex relationships between members of an English sentence.