1. B Y
N A M E : H A R S H I T J A I N
R O L L N O : 9 9 1 0 1 0 3 4 7 6
B A T C H : F - 3
S U P E R V I S O R : M R S A N D E E P J A I N
D E S I G N A T I O N : A S S I S T A N T P R O F E S S O R
Personalized Real Time Trend
Prediction
2. Problem Statement
To provide the user with “Personalized Real
Time News” based on his/her integrated data
collected from various social networking
websites like Facebook, Twitter, LinkedIn etc.
and take feedback from them about the
relevance of the results shown to them.
3. Modules
Module 1: Collecting Data from social networks
Module 2: Processing Data and extracting
keywords
Module 3: Verifying keywords by extracting news
Module 4: Feedback
4. My Responsibilities
Module 3: Query News Websites to get News
Updates based on relevant keywords
Module 4: Implement Feedback mechanism
Develop UI
7. Conclusion
This project aimed to provide people with real time
updates using the data from their social networks.
Updates include news updates on the selected
keywords which are relevant to the user or trending
in his/her social network.
This type of personalized news which is based on
various social networking website is a new
application of use of social networks and when
general public starts using it, it is expected to be very
useful to them in their day to day lives.
8. Future Scope
The future scope of this project is immense.
First of all more and more social networks can be
integrated into this application.
Secondly better data mining techniques can be
applied in future to get better results.
Thirdly based on the feedback of the user, the
system can be made to automatically modify its
algorithm without manual intervention.