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Application of sentimental analysis in adaptive user interfaces

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dc.contributor.advisor Ali, Abu M. Hammad
dc.contributor.author Kamal, Badruddin
dc.date.accessioned 2012-04-17T06:27:00Z
dc.date.available 2012-04-17T06:27:00Z
dc.date.copyright 2011
dc.date.issued 2011-09
dc.identifier.other ID 08301012
dc.identifier.uri http://hdl.handle.net/10361/1772
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, 2011.
dc.description Cataloged from PDF version of thesis report.
dc.description Includes bibliographical references (page 18).
dc.description.abstract The objective of this project is to show how sentimental analysis can help improve the user experience over a social network or system interface. The learning algorithm will learn what our emotions are from statistical data then determine the mood. After that it will change our social interactions accordingly on our social network sites or other interfaces like desktop or system services or web-pages. Suppose you are bored or sad ,in the case of social networks one thing the computer could do is to be more suggestive of things that lighten your mood and change interactions like backgrounds color's ,icons services. The site could automatically try suggesting interactions with people and applications that would help improve the mood, while hiding others that might make it worse. The project aims to implement these in the social network community as well as services and interfaces of our systems, while making our lives better and our experience richer and efficient. en_US
dc.description.statementofresponsibility Badruddin Kamal
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 Application of sentimental analysis in adaptive user interfaces en_US
dc.type Thesis en_US
dc.contributor.department Department of Computer Science and Engineering, BRAC University
dc.description.degree B. Computer Science and Engineering


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