20.500.12556/DKUM-77021 Zasnova in razvoj sistema za rudarjenje mnenja, s pomočjo besednih vektorjev in nevronskih mrež magistrsko delo Design and development of an opinion mining system with the use of word vectors and neural networks V zadnjih letih je, predvsem s porastom socialnih medijev, analiza sentimenta postala ena izmed glavnih vej obdelave naravnega jezika. Intenzivno se uporablja na različnih področjih, med drugim tudi v političnem prostoru. V sklopu magistrske naloge smo izdelali sistem za rudarjenje mnenja, ki uspešno razvrsti komentarje, zapisane v slovenskem jeziku, v tri kategorije, in sicer pozitivne, negativne in nevtralne. Po proučitvi strokovne in znanstvene literature ter razvoju in primerjavi različnih modelov nam je uspelo pokazati, da lahko z uvedbo besednih vektorjev v kombinaciji z nevronskimi mrežami občutno izboljšamo delovanje takšnega sistema. Sentiment analysis has become one of the most important branches of natural language processing, especially with the rise of social media over the past few years. It is extensively used in various fields, including politics. As part of the master's thesis, we have developed an opinion mining system that successfully classifies comments written in the Slovenian language into three different categories, namely positive, negative and neutral. After reviewing the technical and scientific literature along with the implementation and comparison of different models, we have been able to demonstrate that the introduction of word vectors in combination with neural networks can significantly improve the performance of such a system. analiza sentimenta besedni vektorji nevronske mreže obdelava naravnega jezika sentiment analysis word vectors neural networks natural language processing true true false [M. Hozjan] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2020-08-10 19:51:03 2020-11-03 12:00:00 2022-08-09 14:15:39 2020-11-19 03:20:07 2020 0 Maribor 0 Maribor VIII, 47 f. 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.8:004.93(043.2) 37253891 URN:SI:UM:DK:41BMEDYL MAG_Hozjan_Miha_2020.pdf MAG_Hozjan_Miha_2020.pdf 1 E297CDC71E29FF86D494A5A674DE0709 7aab7f96cbe8bd866e64d60ebd10ed887b24b68f2018323ce92bd3b4349a3068 71cdb515-7c11-11eb-bb7a-00155d0001ca 20.500.12556/dkum/24251c39-2865-417c-bae5-e813b22257ea https://dk.um.si/Dokument.php?lang=slv&id=144084 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0