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Presenter | Dr. Mathew McDougall | Founder & CEO, Digital Jungle
BIG DATA FOR BIG RESULTS
IN CHINESE SOCIAL MEDIA
WHAT IS BIG DATA?
•  Text/content mining
•  Natural Language Processing
•  Automatic summarization
•  Graph databases
•  Commitment to unsupervised
learning.
I wanted a better way do social
media and content marketing
	
  
Basically, we could answer the questions about why and where we wanted to
use content to develop online stories.
NLP AND GRAPHS?
THE BIG IDEA
Contain
Foundin!
Sentences
PhrasesArticles
IMPORTANCE OF NLP
•  I’m inspired by the idea of
machines learning from
experience.
•  NLP is important for finding
valuable information in noisy
unstructured text.
What about this NLP stuff?
TOPICS AND CONTENT
Once you can understand
what is being discussed online
you can make decisions about
embedding new narratives or
amplifying the existing topics.
COMMUNITY VISULISATION
Visually mapping the
community engagement and
relationships provides ways
to ‘see’ into the social data
and further develop the
social media program for
effect.
LOCATION AND POSITION
The geo-location of the discussions
provide valuable information on
spacial locations of the online social
activity. Meaning, we can map the
discourse between 1:1 or 1:many and
this can be used to understand the
community element of the online
discussions.
SENTIMENT
Another interesting element to the NLP
analysis is the ability to derive sentiment
from the online discussions. This allows the
team to develop content and messages to
support the aims of the content programs.
PERSONAS & ARCHETYPES
Thanks for listening to my talk!
Please look up Digital Jungle on Twitter and LinkedIn!
Twitter: www.twitter.com/digitaljunglecn
LinkedIn: www.linkedin.com/company/digital-jungle
www.digitaljungle.com.au	
  
BEIJING | SHANGHAI | SYDNE Y | AUC KLAND

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Big Data for Big Results in Chinese Social Media

  • 1. Presenter | Dr. Mathew McDougall | Founder & CEO, Digital Jungle BIG DATA FOR BIG RESULTS IN CHINESE SOCIAL MEDIA
  • 2. WHAT IS BIG DATA? •  Text/content mining •  Natural Language Processing •  Automatic summarization •  Graph databases •  Commitment to unsupervised learning.
  • 3. I wanted a better way do social media and content marketing   Basically, we could answer the questions about why and where we wanted to use content to develop online stories.
  • 6. IMPORTANCE OF NLP •  I’m inspired by the idea of machines learning from experience. •  NLP is important for finding valuable information in noisy unstructured text.
  • 7. What about this NLP stuff?
  • 8. TOPICS AND CONTENT Once you can understand what is being discussed online you can make decisions about embedding new narratives or amplifying the existing topics.
  • 9. COMMUNITY VISULISATION Visually mapping the community engagement and relationships provides ways to ‘see’ into the social data and further develop the social media program for effect.
  • 10. LOCATION AND POSITION The geo-location of the discussions provide valuable information on spacial locations of the online social activity. Meaning, we can map the discourse between 1:1 or 1:many and this can be used to understand the community element of the online discussions.
  • 11. SENTIMENT Another interesting element to the NLP analysis is the ability to derive sentiment from the online discussions. This allows the team to develop content and messages to support the aims of the content programs.
  • 13. Thanks for listening to my talk! Please look up Digital Jungle on Twitter and LinkedIn! Twitter: www.twitter.com/digitaljunglecn LinkedIn: www.linkedin.com/company/digital-jungle
  • 14. www.digitaljungle.com.au   BEIJING | SHANGHAI | SYDNE Y | AUC KLAND