| 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 |