• DocumentCode
    3703602
  • Title

    Sentiment analysis of Facebook data using Hadoop based open source technologies

  • Author

    Sudipto Shankar Dasgupta;Swaminathan Natarajan;Kiran Kumar Kaipa;Sujay Kumar Bhattacherjee;Arun Viswanathan

  • Author_Institution
    Infosys Ltd., Bangalore, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    As more and more enterprises are looking forward to leveraging the connected network of Facebook to capture inputs and feedback on their brands, it is becoming increasingly important to mine the unstructured information from Facebook. The recent advances in open source software technologies in the map reducing paradigm opens up a whole new opportunity for such advanced analytics. This paper illustrates the use of open source technologies for brand sentiment analysis from Facebook data.
  • Keywords
    "Facebook","Sparks","Sentiment analysis","Dictionaries","Uniform resource locators","Media","Fault tolerance"
  • Publisher
    ieee
  • Conference_Titel
    Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on
  • Print_ISBN
    978-1-4673-8272-4
  • Type

    conf

  • DOI
    10.1109/DSAA.2015.7344883
  • Filename
    7344883