Final Year PPT on Twitter App


Published on

Twitter App over recommendation and analytic systems, Animated presentation using PowerPoint.

Published in: Education, Technology
1 Like
  • Be the first to comment

No Downloads
Total views
On SlideShare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide

Final Year PPT on Twitter App

  1. 1. TWITANCE Guided By: Prof.Geeta Patil Sponsored By: Josh Software Group Members: Ashish Singh Rohit Khatana Jitendra Sharma Aravind S
  2. 2. TWITANCE ● Recommendation Tool ● Twitter analytics ● Checks the response on tweets ● Uses this response to better engage with the audience
  3. 3. TWITANCE Based On Twitter Why This? Whenever we tweet on twitter its always good to have an idea of the impact that tweet had and also the activity around that tweet so as to better engage with interested audience. Because, people like to know their influence in social media, which will help them to plan their strategies in case of brands and help people to focus more on them.
  4. 4. Use -cases • Martha tweets about the cooking very frequently. • If she has a new recipe for a dish and she tweets about it. • She wants to know response(RT,reply,favorite) on that tweet.
  5. 5. • So as to better engage with people who are more interested in her recipes. • Doing so its more likely that interested people may come up with suggestions and Rts eventually leading to wider reach.
  6. 6. Impact of promoter ● ● Very recently chennai express was released and there was a lot of activities around the #chennaiexp and @iamsrk. Now if we plan to tweet about the movie. Mentioning @iamsrk increases the possibility of that tweet being retweeted by @iamsrk. Thus increasing the reach of your tweet.
  7. 7. • Normally people don't know who his promoter would be, while tweeting related to a particular topic. • Twitance will help them get to a decision regarding this.
  8. 8. ANOTHER USE-CASE ● ● Let's suppose someone wants to survey about the rape-cases in India . And he tweets about it. Then on the basis of tweet's impact in India .We can give him the best person who can help him out when he comes to India.
  9. 9. Similar Apps which we found During over research TWEET REACH: • Processes your tweets and looks for audience and possible reach , mentions the list of contributors KLOUT: • Measures the size of your social media network. TWEET ANALYZER: • Provides influential score on the basis of popularity
  10. 10. TWIST: • Offers Trends on Twitter on the basis of keywords and hash tag. TWITTURLY: • Keeps track of popular URLs on twitter. • Works similar to Digg.
  11. 11. Milestones With Twitance our main aim is to finally be able to show a list of twitter users to the authorized user as recommendations and analytics of a particular tweet. Thus based on the analysis, twitter user can get a fair idea of their reach through tweets. Our Main idea has these many components:• Two lists of recommendations for a particular tweet:  Universal List
  12. 12.  Followers List • First a Graph(a pictorial representation) that will show the reach and chains as shown in the picture below. • So the basic idea is all the shares from Gautam’s tweet will lie in his circle and add to his contribution in the publicity of this post.
  14. 14. 2. Reach over time In this reach over time is shown this means which users contributed to the post over time and their influence.Important contributors are highlighted.
  15. 15. 3. Influencers and other stats This shows the list of people that influenced the post most this required some math. Gender and Location wise stats will also be there.
  16. 16. Technologies Used: • Ruby On Rails:      Open source web application frame Model view controller design principles Active Record Pattern Encourages developers to use restful routes Availability of numerous gems(libraries) makes your life easier.
  17. 17. • Mongo DB:  Cross platform document oriented database system  No SQL (scheme-less)  Supports restful operations (CRUD)  Favors JSON like documents with dynamic schemas.
  18. 18. • Elastic Search [Analyzers + Efficient Searching ]  Wrapper on Lucene project.  Open source , distributed server side search engine.  Consists various analyzers like Snowball anaylzer.  Provides an approximate result if actual result not found.
  19. 19. • Twitter API :  Provides JSON type API.  Provides services strictly to the authorized users.  Provides all public data related to twitter users which includes Followers, Friends, Tweets and public info of users.  Search Rate limit : 180/user/15 min window  User Rate limit : 15/user/15 min window
  20. 20. REFERENCES: • IEEE PAPER :Credibility in Context: An Analysis of Feature Distributions in Twitter John O’Donovan, Byungkyu Kang, Greg Meyer, Tobias Hollerer University of California,Santa Barbara, USA • • •
  21. 21. THANK YOU!! Made By :Rohit Khatana Aravind S Jitendra Sharma Ashish Singh