GABC2018: Analyse your social sentiments by Emanuele Bartolesi

In this session we will see how with Azure Text Analytics it is possible to extract information such as language, positive or negative sentiment and keywords of a sentence or a longer text. We will analyze a real online service called SocialSentiments that analyzes the flow of Twitter in real time.

Transcript

1. 21th Aprile 2018 Global Azure Bootcamp
2. Analyse your sentiments Emanuele Bartolesi Full Stack Web Developer, Microsoft MVP, Ethical Hacker and Triathlete @kasuken
3. #GLOBALAZURE
4. A real «problem» to resolve… • What is the real perception of my product? • What is the real perception of my company? • What does the users thinks about me or my ideas? • What is the mood when the users write an email to my support?
5. Cognitive Services APIs
6. Text Analysis
7. Supported Languages
8. Limits
9. Best Practices • Split text into sentences • Max size for single document is 10kb • Total size is 1MB • No more 1000 documents for one call • 100 calls for minute
10. DEMO
11. Thank You!
12. Senior Full Stack Web Developer - Ethical Hacker - Blogger http://www.emanuelebartolesi.com @kasuken @kasuken emaueleb@outlook.com //github.com/kasuken
13. 21th Aprile 2018 Global Azure Bootcamp