peoplebrowsr sxsw 2009 and 2010 analytics and sentiment comparison
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PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment ComparisonTRANSCRIPT
![Page 1: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/1.jpg)
Data Mine | Analytics | Engagement | Messaging
PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Report
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![Page 2: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/2.jpg)
SXSW 2009 and 2010
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Analytics:
• Report of mentions during the event for each year
• Mechanical Turk to measure accurate Sentiment
• Metrics to measure Success:
• Total Mentions
• Positive Mentions
![Page 3: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/3.jpg)
SXSW 2009
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Stats:
• 261,129 Total Mentions of #sxsw, #sxsw2009 and “sxsw 2009”
• Sampled 9000 Tweets and used Mechanical Turk Human Sentiment to analyse
• Polarised:
• 8% Positive
• 1% Neg
• 91% Neutral
![Page 4: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/4.jpg)
SXSW 2009
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SXSW 2009
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Total unique @Names who mentioned SXSW = 58,322
Top 20 Influencers:
1. @iamdiddy (2,503,133)
2. @lancearmstrong (2,447,946)
3. @google (2,150,144)
4. @time (2,027,487)
5. @mashable (1,968,936)
6. @SaraBareilles (1,835,427)
7. @nprpolitics (1,834,524)
8. @perezhilton (1,830,441)
9. @MCHammer (1,829,938)
10. @WholeFoods (1,754,689)
11. @feliciaday (1,744,029)
12. @zappos (1,684,111)
13. @biz (1,653,050)
14. @ICHCheezburger (1,650,826)
15. @Veronica (1,628,544)
16. @dooce (1,619,336)
17. @JetBlue (1,603,279)
18. @guardiantech (1,595,353)
19. @DellOutlet (1,575,659)
20. @adventuregirl (1,518,604)
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SXSW 2009
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Human Sentiment Analysis:
• Sampled 9000 Tweets mentioning #sxsw
• Polarised:
• 8% Positive
• 1% Neg
• 91% Neutral
• 5,200 Tweets mentioning @scobleizer
• Polarised:
• 50% Positive
• 3% Negative
• 47% Neutral
![Page 7: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/7.jpg)
SXSW 2009
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Positive Tweets for #sxsw
![Page 8: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/8.jpg)
SXSW 2009
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Negative Tweets for #sxsw
![Page 9: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/9.jpg)
SXSW 2009
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![Page 10: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/10.jpg)
SXSW 2009
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Positive Tweets for @scobleizer
![Page 11: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/11.jpg)
SXSW 2009
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Negative Tweets for @scobleizer
![Page 12: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/12.jpg)
SXSW 2009
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![Page 13: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/13.jpg)
SXSW 2010
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Stats:
• 395,247 Total Mentions of #sxsw and sxsw
• Sampled 9000 Tweets and used Mechanical Turk Human Sentiment to analyse
• Polarised:
• 11% Positive
• 2% Neg
• 87% Neutral
![Page 14: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/14.jpg)
SXSW 2010
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SXSW 2010
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Total unique @Names who mentioned SXSW = 112,705
Top 20 Influencers:
1. @aplusk (4,653,154)
2. @twitter (3,030,642)
3. @lancearmstrong (2,459,874)
4. @google (2,161,418)
5. @petewentz (1,986,717)
6. @jtimberlake (1,892,468)
7. @rainnwilson (1,885,654)
8. @perezhilton (1,851,129)
9. @nprpolitics (1,831,493)
10. @WholeFoods (1,754,526)
11. @feliciaday (1,744,134)
12. @ThatKevinSmith (1,666,324)
13. @biz (1,652,739)
14. @markhoppus(1,627,373)
15. @Veronica (1,626,709)
16. @dooce (1,617,538)
17. @jack(1,601,667)
18. @Ustream(1,542,426)
19. @threadless(1,526,989)
20. @anamariecox(1,492,944)
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SXSW 2010
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Human Sentiment Analysis:
• Sampled 9000 Tweets mentioning #sxsw
• Polarised:
• 11% Positive
• 2% Neg
• 87% Neutral
• 3,500 Tweets mentioning @scobleizer
• Polarised:
• 40% Positive
• 2% Negative
• 58% Neutral
![Page 17: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/17.jpg)
SXSW 2010
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Positive Tweets for #sxsw
![Page 18: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/18.jpg)
SXSW 2010
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Negative Tweets for #sxsw
![Page 19: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/19.jpg)
SXSW 2010
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SXSW 2010
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Positive Tweets for @scobleizer
![Page 21: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/21.jpg)
SXSW 2010
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Negative Tweets for @scobleizer
![Page 22: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/22.jpg)
SXSW 2010
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![Page 23: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/23.jpg)
Comparing SXSW 2009 and 2010
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![Page 24: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/24.jpg)
Comparing SXSW 2009 and 2010
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![Page 25: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/25.jpg)
Comparing SXSW 2009 and 2010
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![Page 26: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/26.jpg)
Intelligent Stream Miningand Strategic Response Solutions
“Real-time Internet conversations occur on many platforms from blogs to social media sites and new web superstars like
Twitter.
Tools that you have used in the past, like Google or their email alerts, cannot keep
pace with these conversations.”
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![Page 27: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/27.jpg)
Inside PeopleBrowsr
• Deep Twitter Archive
• FILTER Tweets, BIOs, Location
• API access for large scale campaigns
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![Page 28: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/28.jpg)
Our Core Strategy
Build Web Apps and Services that look into the Data Mine:
Live Data Mine of Conversations and
Mentions
Social Search Engagement
Work FlowReal Time & Historical Analysis
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![Page 29: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/29.jpg)
Problems we solve:
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• Measure the Effect of Traditional Channels on Social Media
• Manage Viral Sentiment and Customer Service Issues
• Influence the Conversation
• Filter High Velocity Streams
•Send Targeted Actionable Messages
• Build an engaged sticky Audience
• Convert Social Media into Sales
• Calculate ROI
![Page 30: PeopleBrowsr SXSW 2009 and 2010 Analytics and Sentiment Comparison](https://reader035.vdocuments.site/reader035/viewer/2022070313/554b582db4c905e9388b4db2/html5/thumbnails/30.jpg)
Intelligent Stream Miningand Strategic Response Solutions
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Contact me [email protected]
if you would like to see the SXSW 2009 and 2010 Tweets
Or have a play with analytics.peoplebrowsr.com for data on keywords and @names