Application of sentimental analysis in adaptive user interfaces
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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.