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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Application of sentimental analysis in adaptive user interfaces

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    Thesis_SA for UI_Badruddin_Kamal_08301012 final 1.pdf (309.3Kb)
    Date
    2011-09
    Publisher
    BRAC University
    Author
    Kamal, Badruddin
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10361/1772
    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.
    Keywords
    Computer science and engineering
    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.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 18).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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