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Jongwook Woo
HiPIC
CSULA
Alphago vs Lee Se-Dol
Tweeter Analysis using Hadoop
and Spark
March 18 2016
Jongwook Woo, PhD
High-Performance Information Computing Center (HiPIC)
California State University Los Angeles
High Performance Information Computing Center
Jongwook Woo
CSULA
Content
Hadoop and Spark
IBM DashDB
Conclusion
High Performance Information Computing Center
Jongwook Woo
CSULA
Hadoop and Spark Environment
 Systems
Azure HDInsights Spark
8 Nodes
–40 cores: 2.4GHz Intel Xeon
–Memory - Each Node: 28 GB
 Data Source
Keyword ‘alphago’ from Tweeter via Apache NiFi
 Data Size
 63,193 tweets
 Real Time Data Collection period
03/12 – 03/17/2016
–No data collected on 03/13
High Performance Information Computing Center
Jongwook Woo
CSULA
Top 10 Countries that Tweets “Alphago”
High Performance Information Computing Center
Jongwook Woo
CSULA
Top 10 Countries
 # of Tweets per Country
USA: > 11,000
Japan: > 9,000
Korea: > 1,900
Russia, UK: > 1,600
Thai Land, France : > 1,000
 Netherland, Spain, Ukraine: > 600
High Performance Information Computing Center
Jongwook Woo
CSULA
Top 10 Countries Sentiment
Positive Negative
High Performance Information Computing Center
Jongwook Woo
CSULA
Top 10 Countries
Most Tweeted Countries
 All countries show more positive tweets
–Korea, Japan, USA
Country Positive Negative
USA 5070 3567
Japan 8118 217
…
Korea 1053 407
…
High Performance Information Computing Center
Jongwook Woo
CSULA
Daily Tweets in 03/12 – 03/17/2016
0
5000
10000
15000
20000
25000
30000
35000
40000
45000
50000
3/12/2016 3/13/2016 3/14/2016 3/15/2016 3/16/2016 3/17/2016
Alphago vs Lee Sedol
Game 4: Mar 13
Lee Se-Dol win
Game 5: Mar 15
Game 3: Mar 12
High Performance Information Computing Center
Jongwook Woo
CSULA
Ngram words
 3 word in row right after Go-Champion “sedol”
and “se-dol”
sedol
 se-dol
3-grams Frequency
Again-to-win 1,187
Is-something-I’ll 369
Is-something-i 199
In-go-tournament 168
High Performance Information Computing Center
Jongwook Woo
CSULA
Sentiment Map of Alphago
Positive
Negative
High Performance Information Computing Center
Jongwook Woo
CSULA
Sentiment Map of Lee Se-Dol vs Alphago
YouTube video: the sentiment of the World
https://youtu.be/vAzdnj4fkOg?list=PLaEg1tCLuW
0BYLqVS5RTbToiB8wQ2w14a
High Performance Information Computing Center
Jongwook Woo
CSULA
Tweeter Analysis using IBM DashDB
 Environment:
DashDB and Tweets Services of IBM Bluemix
–Load existing data
 Period: by March 16 2016
 Authors and Followers of the Tweets
High Performance Information Computing Center
Jongwook Woo
CSULA
Top 10 Tweet Countries
 With Hashtag “#Alphago”
United States: >10,000
Japan: >8,000
Korea: >1,800
High Performance Information Computing Center
Jongwook Woo
CSULA
Hashtags Frequency
High Performance Information Computing Center
Jongwook Woo
CSULA
Sentiment at #Alphago
High Performance Information Computing Center
Jongwook Woo
CSULA
Gender Counts Who Tweets
female male unknown
Unknown
High Performance Information Computing Center
Jongwook Woo
CSULA
Tweets counts per months
0
2000
4000
6000
8000
10000
12000
Aug-2014 Feb-2015 Feb-2016 Jan-2015 Jan-2016 Mar-2016
Tweets counts per months
High Performance Information Computing Center
Jongwook Woo
CSULA
Daily Tweets During Games
0
500
1000
1500
2000
2500
3000
3500
3/9/2016 3/10/2016 3/11/2016 3/12/2016 3/13/2016 3/14/2016 3/15/2016 3/16/2016
Daily Tweets during Games
Game 4: Mar 13
Lee Se-Dol win
Game 5: Mar 15
Game 3: Mar 12
Game 1: Mar 9
Game 2: Mar 10
High Performance Information Computing Center
Jongwook Woo
CSULA
Conclusion
 Analyze Tweeters with “Alphago”
 USA and Japan dominates the tweets
More than Korea
European countries as well
 More Positive tweets
Alphago and Lee Sedol both become popular

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Alphago vs Lee Se-Dol : Tweeter Analysis using Hadoop and Spark

  • 1. Jongwook Woo HiPIC CSULA Alphago vs Lee Se-Dol Tweeter Analysis using Hadoop and Spark March 18 2016 Jongwook Woo, PhD High-Performance Information Computing Center (HiPIC) California State University Los Angeles
  • 2. High Performance Information Computing Center Jongwook Woo CSULA Content Hadoop and Spark IBM DashDB Conclusion
  • 3. High Performance Information Computing Center Jongwook Woo CSULA Hadoop and Spark Environment  Systems Azure HDInsights Spark 8 Nodes –40 cores: 2.4GHz Intel Xeon –Memory - Each Node: 28 GB  Data Source Keyword ‘alphago’ from Tweeter via Apache NiFi  Data Size  63,193 tweets  Real Time Data Collection period 03/12 – 03/17/2016 –No data collected on 03/13
  • 4. High Performance Information Computing Center Jongwook Woo CSULA Top 10 Countries that Tweets “Alphago”
  • 5. High Performance Information Computing Center Jongwook Woo CSULA Top 10 Countries  # of Tweets per Country USA: > 11,000 Japan: > 9,000 Korea: > 1,900 Russia, UK: > 1,600 Thai Land, France : > 1,000  Netherland, Spain, Ukraine: > 600
  • 6. High Performance Information Computing Center Jongwook Woo CSULA Top 10 Countries Sentiment Positive Negative
  • 7. High Performance Information Computing Center Jongwook Woo CSULA Top 10 Countries Most Tweeted Countries  All countries show more positive tweets –Korea, Japan, USA Country Positive Negative USA 5070 3567 Japan 8118 217 … Korea 1053 407 …
  • 8. High Performance Information Computing Center Jongwook Woo CSULA Daily Tweets in 03/12 – 03/17/2016 0 5000 10000 15000 20000 25000 30000 35000 40000 45000 50000 3/12/2016 3/13/2016 3/14/2016 3/15/2016 3/16/2016 3/17/2016 Alphago vs Lee Sedol Game 4: Mar 13 Lee Se-Dol win Game 5: Mar 15 Game 3: Mar 12
  • 9. High Performance Information Computing Center Jongwook Woo CSULA Ngram words  3 word in row right after Go-Champion “sedol” and “se-dol” sedol  se-dol 3-grams Frequency Again-to-win 1,187 Is-something-I’ll 369 Is-something-i 199 In-go-tournament 168
  • 10. High Performance Information Computing Center Jongwook Woo CSULA Sentiment Map of Alphago Positive Negative
  • 11. High Performance Information Computing Center Jongwook Woo CSULA Sentiment Map of Lee Se-Dol vs Alphago YouTube video: the sentiment of the World https://youtu.be/vAzdnj4fkOg?list=PLaEg1tCLuW 0BYLqVS5RTbToiB8wQ2w14a
  • 12. High Performance Information Computing Center Jongwook Woo CSULA Tweeter Analysis using IBM DashDB  Environment: DashDB and Tweets Services of IBM Bluemix –Load existing data  Period: by March 16 2016  Authors and Followers of the Tweets
  • 13. High Performance Information Computing Center Jongwook Woo CSULA Top 10 Tweet Countries  With Hashtag “#Alphago” United States: >10,000 Japan: >8,000 Korea: >1,800
  • 14. High Performance Information Computing Center Jongwook Woo CSULA Hashtags Frequency
  • 15. High Performance Information Computing Center Jongwook Woo CSULA Sentiment at #Alphago
  • 16. High Performance Information Computing Center Jongwook Woo CSULA Gender Counts Who Tweets female male unknown Unknown
  • 17. High Performance Information Computing Center Jongwook Woo CSULA Tweets counts per months 0 2000 4000 6000 8000 10000 12000 Aug-2014 Feb-2015 Feb-2016 Jan-2015 Jan-2016 Mar-2016 Tweets counts per months
  • 18. High Performance Information Computing Center Jongwook Woo CSULA Daily Tweets During Games 0 500 1000 1500 2000 2500 3000 3500 3/9/2016 3/10/2016 3/11/2016 3/12/2016 3/13/2016 3/14/2016 3/15/2016 3/16/2016 Daily Tweets during Games Game 4: Mar 13 Lee Se-Dol win Game 5: Mar 15 Game 3: Mar 12 Game 1: Mar 9 Game 2: Mar 10
  • 19. High Performance Information Computing Center Jongwook Woo CSULA Conclusion  Analyze Tweeters with “Alphago”  USA and Japan dominates the tweets More than Korea European countries as well  More Positive tweets Alphago and Lee Sedol both become popular