Title :
Using Big Data and sentiment analysis in product evaluation
Author :
Banic, Lada ; Mihanovic, Ana ; Brakus, Marko
Author_Institution :
Poslovna Inteligencija d.o.o., Zagreb, Croatia
Abstract :
When purchasing a product for the first time one usually needs to choose among several products with similar characteristics. Companies use to promote their brands and products pointing out good characteristics avoiding to mention the poor ones. The best way to choose the most suitable product is to rely upon the opinions of others. The system to be described here collects opinions about hotels from the web, evaluates them, aggregates these evaluations and offers cumulative, easy-to-understand information. Generated information is intended for the possible prospective customer, but also for the hotel managers providing them with additional guidance in future business development.
Keywords :
Internet; data analysis; data mining; hotel industry; information retrieval; marketing data processing; text analysis; Web; big data; business development; customers; hotel managers; information extraction; product evaluation; purchasing; sentiment analysis; text mining; Atmosphere; Databases; Dictionaries; Feature extraction; Text mining; Web sites;
Conference_Titel :
Information & Communication Technology Electronics & Microelectronics (MIPRO), 2013 36th International Convention on
Conference_Location :
Opatija
Print_ISBN :
978-953-233-076-2