DocumentCode
633026
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
fYear
2013
fDate
20-24 May 2013
Firstpage
1149
Lastpage
1154
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information & Communication Technology Electronics & Microelectronics (MIPRO), 2013 36th International Convention on
Conference_Location
Opatija
Print_ISBN
978-953-233-076-2
Type
conf
Filename
6596430
Link To Document