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Selectivity-Based Keyword Extraction Method

Slobodan Beliga, Ana Meštrović, Sanda Martinčić-Ipšić

Source Title: International Journal on Semantic Web and Information Systems (IJSWIS)12(3)

ISSN: 1552-6283|EISSN: 1552-6291|EISBN13: 9781466689541|DOI: 10.4018/IJSWIS.2016070101

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MLA

Beliga, Slobodan, et al. "Selectivity-Based Keyword Extraction Method." IJSWIS vol.12, no.3 2016: pp.1-26. http://doi.org/10.4018/IJSWIS.2016070101

APA

Beliga, S., Meštrović, A., & Martinčić-Ipšić, S. (2016). Selectivity-Based Keyword Extraction Method. International Journal on Semantic Web and Information Systems (IJSWIS), 12(3), 1-26. http://doi.org/10.4018/IJSWIS.2016070101

Chicago

Beliga, Slobodan, Ana Meštrović, and Sanda Martinčić-Ipšić. "Selectivity-Based Keyword Extraction Method," International Journal on Semantic Web and Information Systems (IJSWIS) 12, no.3: 1-26. http://doi.org/10.4018/IJSWIS.2016070101

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Abstract

In this work the authors propose a novel Selectivity-Based Keyword Extraction (SBKE) method, which extracts keywords from the source text represented as a network. The node selectivity value is calculated from a weighted network as the average weight distributed on the links of a single node and is used in the procedure of keyword candidate ranking and extraction. The authors show that selectivity-based keyword extraction slightly outperforms an extraction based on the standard centrality measures: in/out-degree, betweenness and closeness. Therefore, they include selectivity and its modification – generalized selectivity as node centrality measures in the SBKE method. Selectivity-based extraction does not require linguistic knowledge as it is derived purely from statistical and structural information of the network. The experimental results point out that selectivity-based keyword extraction has a great potential for the collection-oriented keyword extraction task.

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Selectivity-Based Keyword Extraction Method

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