Pregled bibliografske jedinice broj: 939002
APPLICATION OF NLP ALGORITHMS IN ITS MARKET ANALYSIS
APPLICATION OF NLP ALGORITHMS IN ITS MARKET ANALYSIS // Proceedings of the International Scientific Conference “Science and Traffic Development” (ZIRP 2018)- Transport and Logistics Industry in Digital Age
Zagreb: Fakultet prometnih znanosti Sveučilišta u Zagrebu, 2018. str. 33-42 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
APPLICATION OF NLP ALGORITHMS IN ITS MARKET
ANALYSIS
Autori
Cvetek, Dominik ; Tišljarić, Leo ; Mandžuka, Bia ; Jurčević, Marinko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the International Scientific Conference “Science and Traffic Development” (ZIRP 2018)- Transport and Logistics Industry in Digital Age
/ - Zagreb : Fakultet prometnih znanosti Sveučilišta u Zagrebu, 2018, 33-42
Skup
International Scientific Conference Science and Traffic Development (ZIRP 2018)
Mjesto i datum
Opatija, Hrvatska, 10.05.2018. - 11.05.2018
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Intelligent Transport Systems ; Market analysis ; Artificial intelligence
Sažetak
Artificial intelligence (AI) is the branch of computer science which aims to incorporate human intelligence into computer programs. Natural language processing (NLP) is a branch of AI regarding to morphological, syntactic, semantic analysis and discourse processing of language. This paper presents technique of using NLP algorithm in marketing of Intelligent Transport System (ITS) services. Marketing is an extremely important process involved in selling and presenting products. Paper deals with applying AI in a specific market, such as ITS. ITS refers as upgrade of the existing traffic system using information communication technologies (ICT). In this paper authors propose the framework for classification of commercial content published by companies that are developing ITS services as defined in well- known ITS architectures. That kind of information could provide market and marketing analysis assistance.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Tehnologija prometa i transport, Ekonomija
POVEZANOST RADA
Ustanove:
Fakultet prometnih znanosti, Zagreb