Social media analytics in business intelligence applications

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.

Bibliographic Details
Main Author: Lo, Bobby
Other Authors: Michael A. Cusumano.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2009
Subjects:
Online Access:http://hdl.handle.net/1721.1/46017
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author Lo, Bobby
author2 Michael A. Cusumano.
author_facet Michael A. Cusumano.
Lo, Bobby
author_sort Lo, Bobby
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description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.
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spelling mit-1721.1/460172019-04-11T08:32:23Z Social media analytics in business intelligence applications Lo, Bobby Michael A. Cusumano. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008. Includes bibliographical references (p. 89-93). Social media is becoming increasingly important in society and culture, empowering consumers to group together on common interests and share opinions through the Internet. The social web shifts the originators of content from companies to users. Differences caused by this dynamic result in existing web analytic techniques being inadequate. Because people reveal their thoughts and preferences in social media, there are significant opportunities in business intelligence by analyzing social media. These opportunities include brand monitoring; trend recognition, and targeted advertising. The market for social media analytics in business intelligence is further validated by its direct application in the consumer research market. Challenges lie ahead for development and adoption of social media analytics. Technology used in these analytics, such as natural language processing and social network analysis, need to mature to improve accuracy, performance, and scalability. Nevertheless, social media continues to grow at a rapid pace, and organizations should form strategies to incorporate social media analytics into their business intelligence frameworks. by Bobby Lo. M.Eng. 2009-06-30T17:01:49Z 2009-06-30T17:01:49Z 2008 2008 Thesis http://hdl.handle.net/1721.1/46017 367582343 eng M.I.T. theses 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. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 93 p. application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Lo, Bobby
Social media analytics in business intelligence applications
title Social media analytics in business intelligence applications
title_full Social media analytics in business intelligence applications
title_fullStr Social media analytics in business intelligence applications
title_full_unstemmed Social media analytics in business intelligence applications
title_short Social media analytics in business intelligence applications
title_sort social media analytics in business intelligence applications
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/46017
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