• DocumentCode
    3281130
  • Title

    Investigation of localized sentiment for a given product by analyzing tweets

  • Author

    Hridoy, Syed Akib Anwar ; Ekram, M. Tahmid ; Islam, Mohammad Samiul ; Ahmed, Faysal ; Rahman, Rashedur M.

  • Author_Institution
    Electr. & Comput. Eng. Dept., North South Univ., Dhaka, Bangladesh
  • fYear
    2015
  • fDate
    June 28 2015-July 1 2015
  • Firstpage
    265
  • Lastpage
    270
  • Abstract
    Big data analysis has a huge importance not only to students and researchers but also to small, medium and large businesses. This is mainly due to the fact that big data is almost abundant storage of critical information. Any kind of products and services that people enjoy or do not find very helpful, at least a handful of people around the world will always post about it on social media. In this paper, we have discussed a proper methodology for the utilization and interpretation of twitter data which lead to some interesting insights into the world of public opinions about the iPhone 6. We also included various feature popularities and male-and-female reactions to the product. We found mixed opinions, most of which were consistent with the general comments and opinions expressed by users.
  • Keywords
    Big Data; data analysis; information analysis; market research; marketing data processing; social networking (online); Big Data analysis; data interpretation; data utilization; feature popularities; information storage; localized sentiment; male-and-female reaction; public opinion; tweets analysis; Batteries; Cameras; Legged locomotion; Data Mining; Natural Language Processing; Rapid Miners; SentiWord; Stanford Natural Language Processing tool;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science (ICIS), 2015 IEEE/ACIS 14th International Conference on
  • Conference_Location
    Las Vegas, NV
  • Type

    conf

  • DOI
    10.1109/ICIS.2015.7166604
  • Filename
    7166604