• DocumentCode
    707266
  • Title

    Strategies for mining opinions: A survey

  • Author

    Bhatia, Surbhi ; Sharma, Manisha ; Bhatia, Komal Kumar

  • Author_Institution
    Comput. Sci. Dept., Banasthali Vidyapith, Tonk, India
  • fYear
    2015
  • fDate
    11-13 March 2015
  • Firstpage
    262
  • Lastpage
    266
  • Abstract
    In the era of Internet and rapid growth of social networking, influence on the decision making process may impact and vary from one individual to another. Blogs, Posts, tweets etc have changed the means of communication and made the web a more attractive source of communication for sharing views. With the passage of time and the growth in e-commerce, a new web world needs to be developed where users can share their views and opinions on different domains. Extraction of useful content from such opinion sources is a demanding task. This has made the focus of researchers in the field of opinion mining more and more prominent. The paper presents an extensive literature review and highlights the present methods available in the field of opinion mining. It also discusses a work flow to mine the opinions though a useful and efficient system.
  • Keywords
    data mining; social networking (online); Internet; Web world; e-commerce; opinion mining; social networking; Blogs; Computer science; Data mining; Feature extraction; IEEE Xplore; Sentiment analysis; Social network services; Natural Language Processing; Opinion mining; Sentiment Analysis; Web mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-9-3805-4415-1
  • Type

    conf

  • Filename
    7100256