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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
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.
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
My Responsibilities
 Module 3: Query News Websites to get News
Updates based on relevant keywords
 Module 4: Implement Feedback mechanism
 Develop UI
Technical Specifications
 Language Used : Python
 Packages Used:
 FeedParser
 Tkinter
Screenshot of Output
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.
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.
The End
Thank you !!!

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Major presentation

  • 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
  • 5. Technical Specifications  Language Used : Python  Packages Used:  FeedParser  Tkinter
  • 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.