Twitter Data Mining for Brand Sentiment

In this talk, I’ll show you how to quickly set up packages and API’s in R so you can start exploring large data sets from Twitter. I’ll walk through how to interpret data to better understand sentiment around a specific topic and how geographic location can impact sentiment.

In this talk, I’ll show you how to quickly set up packages and API’s in R so you can start exploring large data sets from Twitter. I’ll walk through how to interpret data to better understand sentiment around a specific topic and how geographic location can impact sentiment. Here’s what I will cover:

• Basic data search
• Extracting data for a file
• Investigating a specific Twitter user
• Group sentiment analysis
• Geolocation trend analysis

I’ve presented at HighEd Web (https://www.highedweb.org/), Great Lakes Software Excellence Conference (https://glsec.softwaregr.org/), Beer City Code (http://beercitycode.com/), Higher Ed Experts (http://higheredexperts.com/), and EduWeb (http://eduwebconf.com/) and received high marks from attendees. I have given other talks on:

• User Experience / Web Design
• Tracking Low Energy Bluetooth Devices