Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Sjekavica, Tomo"'
In this paper we analyze reviews written by customers of an online shop, by employing opinion polarity classification on document level using five machine learning algorithms: Na¨ive Bayes, Support Vector Machine, Neural networks, C4.5 algorithm and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::940db514b854706cadd2a718b1dec1c5
https://www.bib.irb.hr/958221
https://www.bib.irb.hr/958221
Extreme expansion of digital technologies and social networks in recent years has had a huge impact on the travel market and online tourism. Along with the digitalization of tourism and travel business, every day more and more accommodation bookings
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::38d66f2eaa7031afb840ff1070667e73
https://www.bib.irb.hr/883581
https://www.bib.irb.hr/883581
Publikováno v:
Ekonomska misao i praksa
Volume 26
Issue 1
Volume 26
Issue 1
Extreme expansion of digital technologies and social networks in recent years has had a huge impact on the travel market and online tourism. Along with the digitalization of tourism and travel business, every day more and more accommodation bookings
During the last few years, there was a large increase in various forms of multimedia content on the Web, which presents a growing problem for the further use and retrieval of such content. In parallel, with the increase of multimedia content on the W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::002ccec75b05e37e3b4afd832787f1fe
https://www.bib.irb.hr/685328
https://www.bib.irb.hr/685328
Today’s major problem in consumption of multimedia content from the Web is the extremely large volume of multimedia content in variou s forms on the Web, which keeps on rapidly growing. Another problem is that one part of that multimedia content is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::e767607ee4a3ae3b756284452a0bc86c
https://www.bib.irb.hr/701132
https://www.bib.irb.hr/701132
In recent years, along with the expansion of Web 2.0 and social networks, an extreme growth of multimedia content on the Web is registered. That multimedia content is mostly in the form of images and videos. To enable enhanced use, reuse and retrieva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::4cd21e78204b116b2deb5be1e802fa63
https://www.bib.irb.hr/651520
https://www.bib.irb.hr/651520
The aim of the research is to develop a fuzzy decision making model for the selection of a suitable multimedia application for learning using subjective judgments of decision makers. The proposed approach is based on FAHP and TOPSIS methods. FAHP met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57df2a9f2af8c1719c2198af7461b6bb
Autor:
Sjekavica, Tomo
Zbog sve veće količine multimedijskog sadržaja na webu potreba za popratnim multimedijskim zabilješkama koje opisuju taj sadržaj postala je sve izraženija. U ovom radu je dan pregled različitih pristupa i metoda za kreiranje semantičko bogati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::29733cca093c56dca374dd753fc54efb
https://www.bib.irb.hr/625139
https://www.bib.irb.hr/625139
Due to the progressively increasing amount of multimedia on the Web, the need for efficient metadata formats describing that content has become increasingly evident. This paper gives an overview of the different approaches and methods for creation an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::0a23e450ab5659abde2283c4bbc629b5
https://www.bib.irb.hr/635375
https://www.bib.irb.hr/635375
Governments and organizations increasingly recognize huge opportunities in sharing and distribution of collected data, and research community must provide methods and algorithms for privacy preserving data publishing. Without access to the original m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::0c520000126bdc2106e712794454ed7d
https://www.bib.irb.hr/634302
https://www.bib.irb.hr/634302