• 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