IDEAS home Printed from https://ideas.repec.org/a/igg/jirr00/v6y2016i2p1-23.html
   My bibliography  Save this article

A Novel Approach for Crawling the Opinions from World Wide Web

Author

Listed:
  • Surbhi Bhatia

    (King Faisal University, Saudi Arabia)

  • Manisha Sharma

    (Department of Computer Science, Banasthali University, Jaipur, India)

  • Komal Kumar Bhatia

    (Department of Computer Engineering, YMCA University of Science and Technology, Faridabad, India)

Abstract

Due to the sudden and explosive increase in web technologies, huge quantity of user generated content is available online. The experiences of people and their opinions play an important role in the decision making process. Although facts provide the ease of searching information on a topic but retrieving opinions is still a crucial task. Many studies on opinion mining have to be undertaken efficiently in order to extract constructive opinionated information from these reviews. The present work focuses on the design and implementation of an Opinion Crawler which downloads the opinions from various sites thereby, ignoring rest of the web. Besides, it also detects web pages which frequently undergo updation by calculating the timestamp for its revisit in order to extract relevant opinions. The performance of the Opinion Crawler is justified by taking real data sets that prove to be much more accurate in terms of precision and recall quality attributes.

Suggested Citation

  • Surbhi Bhatia & Manisha Sharma & Komal Kumar Bhatia, 2016. "A Novel Approach for Crawling the Opinions from World Wide Web," International Journal of Information Retrieval Research (IJIRR), IGI Global, vol. 6(2), pages 1-23, April.
    • Handle: RePEc:igg:jirr00:v:6:y:2016:i:2:p:1-23
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJIRR.2016040101
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jirr00:v:6:y:2016:i:2:p:1-23. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.