Selectivity-Based Keyword Extraction Method (CROSBI ID 230794)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Beliga, Slobodan ; Meštrović, Ana ; Martinčić- Ipšić, Sanda
engleski
Selectivity-Based Keyword Extraction Method
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.
Centrality Measures ; Complex Network ; Generalized Selectivity ; Graph-Based Keyword Extraction ; Keyword Expansion ; Keyword Extraction ; Keyword Ranking ; Selectivity
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Podaci o izdanju
12 (3)
2016.
1-26
objavljeno
1552-6283
10.4018/IJSWIS.2016070101
Povezanost rada
Računarstvo, Informacijske i komunikacijske znanosti