Twitter and Mediasift Partnership

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Slides presented at Data 2.0 conference on the announcement of the Partnership of Twitter and Mediasift

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  • Twitter and Mediasift Partnership

    1. 1. NICK HALSTEAD@NIKRYAN SARVER@RSARVER
    2. 2. REALTIME TWITTER DATA MINING @DATASIFT
    3. 3. WHAT IS IN A TWEET?
    4. 4. WHAT IS IN A TWEET?
    5. 5. MINING THE TWEET170 MILLION (daily)
    6. 6. MINING THE TWEET170 MILLION (daily)
    7. 7. MINING THE TWEET REAL-TIME OUTPUT170 MILLION (daily)
    8. 8. DATA FILTERINGCSDL - Curation Stream Definition Language
    9. 9. AUGMENTATIONSKLOUT PEERINDEX QWERLY LEXALYTICS TRENDS
    10. 10. BIGSTORE
    11. 11. BIGSTORE REAL-TIME OUTPUT170 MILLION (daily)
    12. 12. BIGSTORE REAL-TIME OUTPUT170 MILLION (daily) BIGSTORE
    13. 13. BIGSTOREHBASE
    14. 14. BIGSTOREHBASE POST-PROCESSING
    15. 15. BIGSTOREHBASE POST-PROCESSING MAP-REDUCE
    16. 16. BIGSTOREHBASE POST-PROCESSING MAP-REDUCE EXPORTING
    17. 17. BIGSTOREHBASE POST-PROCESSING MAP-REDUCE EXPORTING API
    18. 18. BIGSTORE
    19. 19. WHAT CAN YOU BUILD?
    20. 20. @STOCKSIFT
    21. 21. @STOCKSIFT
    22. 22. @STOCKSIFT
    23. 23. @CLUSTERAPP
    24. 24. @CLUSTERAPP
    25. 25. @CLUSTERAPP
    26. 26. USE CASES / VERTICALS• Below
are
some
of
the
use
cases
from
the
Alpha
programme.
 This
is
a
con7nuously
evolving
set
of
applica7ons,
based
upon
market
feedback. Mining Oil & Gas Exploration Sports Utilities Energy Automobiles Crisis Management Industrials Aerospace / Defence Basic Resources Events / Trigger Reputation Management Banking Chemicals Financial Services Construction Monitoring Risk Analysis Data Analysis Insurance Industrial Goods Research Property Brand Marketing Viral Campaigns Airlines Influencing Media Shipping Qualitative Feedback Transportation Rail CRM Health Pharmaceuticals Augmented Research Healthcare Technology Government Telecommunications Retail / Consumer F&B Personal Goods Travel & Leisure
    27. 27. DATASIFT.COM @DATASIFT

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