• DocumentCode
    1825851
  • Title

    Monitoring and analyzing customer feedback through social media platforms for identifying and remedying customer problems

  • Author

    Bhatia, Sumit ; Jingxuan Li ; Wei Peng ; Tong Sun

  • Author_Institution
    Xerox Res. Centre, Webster, NY, USA
  • fYear
    2013
  • fDate
    25-28 Aug. 2013
  • Firstpage
    1147
  • Lastpage
    1154
  • Abstract
    The tremendous growth and popularity of social media platforms like Twitter, Facebook, etc. provides business organizations an opportunity to monitor the feedback from its customers, identify their problems and take corrective measures. In this paper, we describe a system to automatically monitor and analyze customer feedback through various social media platforms like Facebook, Twitter, etc. and detect issues faced by the customers. Business organizations can use this system to engage with their customers and help alleviate the problems faced by them. The system uses statistical event detection techniques for identifying various customer issues. The system offers a batch version as well as real time version of event detection algorithm depending upon the client´s requirements. We also describe a few case studies illustrating the utility of our proposed system for business organizations in identifying issues faced by their customers through social media channels.
  • Keywords
    customer satisfaction; marketing data processing; social networking (online); statistical analysis; Facebook; Twitter; business organization; customer feedback; customer problem; social media platform; statistical event detection technique; Companies; Event detection; Media; Monitoring; Real-time systems; Twitter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM International Conference on
  • Conference_Location
    Niagara Falls, ON
  • Type

    conf

  • Filename
    6785848