Keyword Extraction Based on Selectivity and Generalized Selectivity (CROSBI ID 60201)
Prilog u knjizi | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Beliga, Slobodan ; Meštrović, Ana ; Martinčić- Ipšić, Sanda
engleski
Keyword Extraction Based on Selectivity and Generalized Selectivity
This chapter presents 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 selectivity slightly outperforms an extraction based on the standard centrality measures. Therefore, the selectivity and its modification – generalized selectivity as the node centrality measures are included 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 and it can be easily ported to new languages and used in a multilingual scenario. The true potential of the proposed SBKE method is in its generality, portability and low computation costs, which positions it as a strong candidate for preparing collections which lack human annotations for keyword extraction.
Keyword Extraction ; Keyword Expansion ; Keyword Ranking ; Complex Network ; Graph-Based Keyword Extraction ; Centrality Measures ; Selectivity ; Generalized Selectivity ; SBKE Method
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Podaci o prilogu
170-204.
objavljeno
10.4018/978-1-5225-5042-6.ch007
Podaci o knjizi
Innovations, Developments, and Applications of Semantic Web and Information Systems
Lytras, Miltiadis D. ; Aljohani, Naif ; Damiani, Ernesto ; Chui, Kwok Tai
Hershey (PA): IGI Global
2018.
9781522550426
Povezanost rada
Informacijske i komunikacijske znanosti, Računarstvo