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Mining & Analyzing Social Media Content: Using Tweets and Posts to Gauge Consumer Sentiment

TITLE: Mining & Analyzing Social Media Content: Using Tweets and Posts to Gauge Consumer Sentiment

DESCRIPTION: Learn how to extract content from Twitter to analyze language and sentiment, and to calculate various Facebook metrics, such as: like rates, share rates, and comment rates. Participants in this hands-on workshop will explore the effect of Apple’s marketing campaigns and its iPhone sales. Workshop participants will navigate through prepared Jupyter Notebooks to analyze and visualize these metrics and relationships. No prior experience with social media mining or metrics, text analysis, or data visualizations are required. Open to the entire Baylor community.

LAPTOPS: Laptops with the following open source and free software will be provided for use during the workshop:

  • Anaconda Python 2.7

PLACE: Visual Studio
DATE: February 27
TIME: 3:30-5pm

Contributors:

Related LibGuide: Data Sets for Research by Eileen M. Bentsen

Date:
Tuesday, February 27, 2018
Time:
3:30pm - 5:00pm
Location:
Visualization Space
Categories:
  Digital Scholarship  
Registration has closed.

Event Organizer

Joshua Been