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undergraduate thesis
Postupak za polunadziranu akviziciju leksikona sentimenta
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. urn:nbn:hr:168:678399
Paradžik, Matej
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Paradžik, M. (2014). Postupak za polunadziranu akviziciju leksikona sentimenta (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:678399

Paradžik, Matej. "Postupak za polunadziranu akviziciju leksikona sentimenta." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:678399

Paradžik, Matej. "Postupak za polunadziranu akviziciju leksikona sentimenta." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:678399

Paradžik, M. (2014). 'Postupak za polunadziranu akviziciju leksikona sentimenta', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 01 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:678399

Paradžik M. Postupak za polunadziranu akviziciju leksikona sentimenta [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2014 [cited 2024 July 01] Available at: https://urn.nsk.hr/urn:nbn:hr:168:678399

M. Paradžik, "Postupak za polunadziranu akviziciju leksikona sentimenta", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:168:678399

Metadata
TitlePostupak za polunadziranu akviziciju leksikona sentimenta
Title (english)Semisupervised Acquisition of Sentiment Polarity Lexicon
AuthorMatej Paradžik
MentorJan Šnajder (mentor)
Committee memberJan Šnajder (predsjednik povjerenstva)
Committee memberGoran Glavaš (član povjerenstva)
Committee memberGoran Delač (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2014-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu opisani su postupci automatske izgradnje sentimenta iz literature te je na temelju njih opisan i implementiran postupak akvizicije leksikona sentimenta na temelju tekstne zbirke Postupak se temelji na polunadziranom učenju nad grafom i radi nad tekstnom zbirkom te je zbog toga primjenjiv na jezike za koje ne postoje izgrađeni jezični resursi poput rječnika. Za određivanje sličnosti između riječi koriste se tri mjere: supojavljivanje, uzajamna zajednička informacija i latentna semantička analiza. Za učenje se koriste dva algoritma: propagacija labela i PageRank. Vrednovanjem je utvrđeno da postupak nije dovoljno dobar da bi se njime izgradio dobar leksikon sentimenta.
Abstract (english)
Firstly, we describe related methods of automatic sentiment lexicon acquisition. Based on these methods, we implement and evaluate corpus-based sentiment lexicon acquisition approach. The approach is based on semisupervised graph-based algorithms, which makes this approach suitable for languages lacking prebuilt lexical resources. For similarity measures we use raw co-occurrence, pointwise mutual information and latent semantic analysis. PageRank and label propagation are the two used algorithms for semisupervised graph-based learning. The approach is shown to have not so good results, so it would be inadvisable to use it for acquisition of sentiment lexicon.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:678399
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2018-02-05 17:48:07