Slobodan Beliga

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Our approach proposes a novel network measure the node selectivity for the task of keyword extraction. The node selectivity is defined as the average strength of the node. Firstly, we show that selectivitybased keyword extraction slightly outperforms the extraction based on the standard centrality measures: in-degree, out-degree, betweenness, and closeness.(More)
Paper presents a survey of methods and approaches for keyword extraction task. In addition to the systematization of methods, the paper gathers a comprehensive review of existing research. Related work on keyword extraction is elaborated for supervised and unsupervised methods, with special emphasis on graphbased methods as well as Croatian keyword(More)
This paper presents text normalization which is an integral part of any text-to-speech synthesis system. Text normalization is a set of methods with a task to write non-standard words, like numbers, dates, times, abbreviations, acronyms and the most common symbols, in their full expanded form are presented. The whole taxonomy for classification of(More)
This paper presents categorization of Croatian texts using Non-Standard Words (NSW) as features. NonStandard Words are: numbers, dates, acronyms, abbreviations, currency, etc. NSWs in Croatian language are determined according to Croatian NSW taxonomy. For the purpose of this research, 390 text documents were collected and formed the SKIPEZ collection with(More)
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