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undergraduate thesis
Principi i algoritmi za izradu snipeta
2020. urn:nbn:hr:195:376408
Picek, Sven
University of Rijeka
Faculty of Informatics and Digital Technologies

Cite this document

Picek, S. (2020). Principi i algoritmi za izradu snipeta (Undergraduate thesis). Rijeka: University of Rijeka. Retrieved from https://urn.nsk.hr/urn:nbn:hr:195:376408

Picek, Sven. "Principi i algoritmi za izradu snipeta." Undergraduate thesis, University of Rijeka, 2020. https://urn.nsk.hr/urn:nbn:hr:195:376408

Picek, Sven. "Principi i algoritmi za izradu snipeta." Undergraduate thesis, University of Rijeka, 2020. https://urn.nsk.hr/urn:nbn:hr:195:376408

Picek, S. (2020). 'Principi i algoritmi za izradu snipeta', Undergraduate thesis, University of Rijeka, accessed 26 April 2024, https://urn.nsk.hr/urn:nbn:hr:195:376408

Picek S. Principi i algoritmi za izradu snipeta [Undergraduate thesis]. Rijeka: University of Rijeka; 2020 [cited 2024 April 26] Available at: https://urn.nsk.hr/urn:nbn:hr:195:376408

S. Picek, "Principi i algoritmi za izradu snipeta", Undergraduate thesis, University of Rijeka, Rijeka, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:195:376408

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Metadata
TitlePrincipi i algoritmi za izradu snipeta
Title (english)Principles and algorithms for snippet construction
AuthorSven Picek
MentorSanda Martinčić-Ipšić (mentor)
GranterUniversity of Rijeka
(Faculty of Informatics and Digital Technologies)
Rijeka
Defense date and country2020-12-18, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Abstract
Završni rad analizira principe i algoritme za izradu Googlovih snipeta. U drugom dijelu se postupcima automatske sumarizacije teksta postavlja vlastito rješenje generiranja snipeta koje se temelji na pristupima ekstraktivne sumarizacije teksta. Automatska sumarizacija teksta postala je izuzetno bitna tema sa rastom količine lako dostupnih informacija. Ovaj rad se bavi proširenjem primjene metode za ekstrakciju ključnih riječi baziranoj na selektivnosti (Selectivity Based Keyword Exraction), na ekstrakciju ključnih rečenica kao ekstraktivnu metodu sumarizacije teksta, ocjenujući njihovu točnost na Googlovim snipetima. Metoda koristi ekstrakciju ključnih rečenica iz izvornog teksta prikazanog u obliku mreže pomoću vrijednosti selektivnosti čvora
Abstract (english)
This paper analyzes principles and algorithms used in creation of Google snippets. In the second part, using automatic text summarization procedures, an own solution for generating snippets is set based on extractive text summarization approaches. Automatic text summarization has become an exceptionally important topic with the growth of easily accessible information. This paper expands the use of the Selectivity Based Keyword Extraction (SBKE) method to extracting key sentences applied as an extractive method for text summarization, assessing their accuracy against Google snippets. This method extracts key sentences from a source presented as a network with the help of the node selectivity measure.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:195:376408
Study programmeTitle: Informatics
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2020-12-16 07:29:47