Naslov
Automatic Keyphrase Extraction from Croatian Newspaper Articles

Autori
Ahel, Renee ; Dalbelo Bašić, Bojana ; Šnajder, Jan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
The Future of Information Sciences, Digital Resources and Knowledge Sharing / Stančić, Hrvoje ; Selja, Sanja ; Bawden, David ; Lasić-Lazić, Jadranka ; Slavić, Aida - , 2009, 207-218

ISBN
978-953-175-305-0

Skup
2nd International Conference The Future of Information Sciences (INFuture 2009)

Mjesto i datum
Zagreb, Hrvatska, 04.11.2009. - 06.11.2009

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
keyphrase extraction; naïve Bayes classifier; Croatian language

Sažetak
Keyphrases provide a way to summarize documents and enable cross-category retrieval. The paper describes a robust system for automatic keyphrase extraction from newspaper articles in Croatian language. Keyphrase candidates are generated based on linguistic and statistical features, and naïve Bayes classifier is used to select the best keyphrases among the candidates. A prediction model is built using training documents with human-assigned keyphrases. System performance is measured on a corpus of newspaper articles, by comparing the automatically extracted keyphrases with those assigned by professional indexers. In absence of comparable results, we consider our results to be of modest performance.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA