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Google's keyword analysis tool and compare its various metrics for finding the most popular search terms on the web

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dc.contributor.advisor Khan, Mumit Tusar, Md. Fazlul Karim 2011-01-25T10:42:38Z 2011-01-25T10:42:38Z 2009 2009-08
dc.identifier.other ID 05141001
dc.description This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2009.
dc.description Cataloged from PDF version of thesis report.
dc.description Includes bibliographical references (page 26).
dc.description.abstract Among the search engines, Google is the most powerful and popular search engine in the web. Google handles roughly 60% of world wide search and Google network is the largest advertising network available online, reaching over 86% of internet users across the web. Google Adwords keyword tool which works based on searches occurred in google and in google network is provides seven different statistics or metrics such as estimated ad position, Estimated Avg. CPC, Advertiser competition, local search volume [Last available month], Global monthly search volume, search volume trends and highest volume occurred in. but it does not provide any keyword effectiveness indicator like keyword density based on a web page URL. Providing these KEI along with Adwords keyword tools existing seven different metrics, make it more effective and noticeably popular for search engine optimization and for Adsense publisher. en_US
dc.description.statementofresponsibility Md. Fazlul Karim Tusar
dc.format.extent 33 pages
dc.language.iso en en_US
dc.publisher BRAC University en_US
dc.rights BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Computer science and engineering
dc.title Google's keyword analysis tool and compare its various metrics for finding the most popular search terms on the web en_US
dc.type Thesis en_US
dc.contributor.department Department of Computer Science and Engineering, BRAC University B. Computer Science and Engineering

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