So that's a mix here, because here's the one that got retweeted a lot, and it's very objective. So, remember, subjectivity goes from zero to one, so on the y-axis here, the higher the value means more subjective. So maybe things with negative opinion expressed tends to be tweeted more. But you could kind of see that maybe things with higher retweet count tends to be negative, on the negative side, right? So that's kind of interesting. So a lot of Twitter has, all of these things have zero, not many, no retweets. As so you can see, and this is just a good visualization to see how they relate. And so twitter_data.retwc, twitter_data.polarity.

He is currently a faculty member at University of Washington. Chirag Shah while he was a faculty member at Rutgers University. She hopes to build a new workflow of data analytics that incorporates traditional data processing using Web and marketing tools, as well as newer methods of using social media data.įinal Project Deliverable/ Artifact: The course will have a series of small assignments or mini-projects that involve data collection, analysis, and presentation involving various social media sources using the techniques learned in the class. Specifically, she wants to see how their clients, partners, and competitors view their products/services and talk about them. She wants to now expand into social media arena, trying to leverage the vast amounts of data available through various social media channels. She has experience working with Web analysis tools as well as marketing data. Isabella is a Data Analyst working as a consultant for a multinational corporation. Sample Learner Story: Data analyst wanting to leverage social media data. Use different tools for collecting, analyzing, and exploring social media data for research and development purposes. Analyze unstructured data - primarily textual comments - for sentiments expressed in them. Process the collected data - primarily structured - using methods involving correlation, regression, and classification to derive insights about the sources and people who generated that data. Utilize various Application Programming Interface (API) services to collect data from different social media sources such as YouTube, Twitter, and Flickr. Learner Outcomes: After taking this course, you will be able to:

Tools for data analysis for tweets