Sentiment analysis uses natural language processing to identify opinions in text as positive, negative, or neutral. Analyzing Twitter data through sentiment analysis can provide insight into public opinions on various topics. The presentation described how sentiment analysis of Twitter data on road traffic could work, using Azure cognitive services and Logic Apps for processing without code. A demo then showed these Azure services in action for sentiment analysis.

1. Whatcansentiment
analysisthroughTwitter
data reallytellus?
Colombo Big Data Meetup
August 2nd 2018
Let’s analyze the world’s reaction
to road traffic

2. In a nutshell
Social
Developer
Skills &
Interests
Recognitions
❑ 7+ years experience
❑ Full stack developer
❑ Angular, Big Data enthusiast
❑ Automation fanboy
❑ Microsoft MVP Developer
Technologies
❑ Top contributor in the
world on Stackoverflow
for #Angular, #Cosmosdb
❑ Web application architecture
❑ Business intelligence
✓ Big Data
✓ Visualization
❑ Azure platform
❑ 120 repositories on Stackblitz
❑ 4800+ answers on Stackoverflow
❑ Github contributions
✓ D3 directives and more
Open-source
contributions
Sajeetharan Sinnathurai
Senior Tech Lead at 99X
Technology
A few things about me!

3. What is sentiment analysis?
“computationally identify and categorize the opinions expressed in a
piece of text; determine whether
positive/neutral/negative toward a topic/product…” [Oxford Dict.]

4. Why it is so important?
• Monitor brand reputation
• Crisis management
• Competitive benchmarking
• Marketing strategies
• Product development
“If you don’t understand their emotions,
you don’t understand your customers”

5. Why Twitter Data?
• 12+ TBs of tweet data
• 500 million public opinions
• Rich content (e.g. graph properties)
504,000,000 * 280 = 7,056,000,000 pages
2,352,000 books

6. Application Architecture
• Sentiment Analysis in 2015
Collect Twitter Data Store Data Score Data Visualize Data
Tweepy/Scrapy
WareHouse Scikit-learn Visualize DataPandas
Visualization
Tool

7. Application Architecture
• Sentiment Analysis in 2018
Collect Twitter Data Score Data Store Data Visualize Data

8. What is Logic Apps?
• Visual designer without writing single line of code
• Dozens of pre-built templates to get started
• Out of box support for popular SaaS and on-premises apps
• Use with custom API apps of your own
• Biztalk APIs for expert integration scenarios

9. Cognitive services
Vision
Speech
Knowledge
Language
Search
“Give your apps a human side”

10. •Sentiment analysis
•Key phrase extraction
•Topic detection
•Language detection

11. It’s Demo Time

12. And we are done

13. Oh wait. Are we? Give away
What were the two main Azure resources
presented in this session?
What is the name of the NOSQL
database that could replace MSSQL in the
proposed solution?
What is the name of the Python library
used for doing Data transformation in the
earlier solution?

14. Thank you!
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