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Preliminary report on network based keyword extraction for Croatian is anunsupervised method for keyword extraction from the complex network. We buildour approach with a new network measure the node selectivity, motivated by theresearch of the graph based centrality approaches. The node selectivity isdefined as the average weight distribution on the links of the single node. Weextract nodes (keyword candidates) based on the selectivity value. Furthermore,we expand extracted nodes to word-tuples ranked with the highest in/outselectivity values. Selectivity based extraction does not require linguisticknowledge while it is purely derived from statistical and structuralinformation en-compassed in the source text which is reflected into thestructure of the network. Obtained sets are evaluated on a manually annotatedkeywords: for the set of extracted keyword candidates average F1 score is24,63%, and average F2 score is 21,19%; for the exacted words-tuples candidatesaverage F1 score is 25,9% and average F2 score is 24,47%.

Toward Selectivity Based Keyword Extraction for Croatian News