|Ali, Abu M. Hammad
|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).
|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.
|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.
|Computer science and engineering
|Application of sentimental analysis in adaptive user interfaces
|Department of Computer Science and Engineering, BRAC University
|B. Computer Science and Engineering