COMM497DB Fall 2019

Access the interactive tutorial

• Download course syllabus

• Week1: Slide: Introducing Digital Behavioral data

• Week1: Slide: An Introduction to R

• Week1: Practice code

• Week2: Slide: Application Programming Interfaces (API)

• Week2: Slide: Collect Twitter Data

• Week2: Practice code for API

• Week2: Practice code for Collecting Twitter Data part 1

• Week3: Slide: Twitter Data Explained

• Week3: Practice code for Collecting Twitter Data part 2

• Week4: Slide: Visualizing Twitter Virality

• Week4: Practice code for visualizing virality

• Week5: Slide: Sentiment detection

• Week5: Practice code for sentiment detection

• Week6: Slide: Text as data part 1

• Week6: In-class practice code for Text as data part 1

• Week7: Slide: Text as data part 2

• Week7: In-class practice code for Text as data part 2

• Week9: Slide: Insights from networks

• Week9: Tutorial: Insights from networks

• Week10: Slide: Geo-mapping

• Week10: Tutorial: Geo-mapping

• Week11-12: Discussions on bias, propaganda, privacy, and surveillance. (shoot me an email if you want to request related worksheets and lecture slides)

• Final Project: How to build a R Shiny app

• Final Project: Example app code 1

• Final Project: Example app code 1

• Final Project: Slide: how to deploy a Shiny app

Student Work & Showcase (From Summer 2021)

• Who is #vaccinated

Student Work & Showcase (From Spring 2019)

• Notre Dame Cathedral Fire
• Wordcloud and Geo-Mapping for #GameofThrones
• Looking into Climate Change
• Twitter: #Bruins
• Russian Foreign Influence Twitter Campaign During the First US Presidential Debate of 2016
• Understanding opinions on #GunControl
• Sentiments about Graduation 2019
• Joe Biden: a Twitter Analysis
• Avengers End Game
• UMass Hockey Tweets

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Tutorials used in previous semesters

The old tutorials are not interactive. They are R Markdown documents hosted on RPubs. With new libraries and changes to Twitter/Facebook API, some content may have become obsolete.

Fall 2017

• Twitter Analytics (Sentiment) How to Detect Sentiments from Donald Trump’s Tweets?
• Twitter Analytics (Trends and word-cloud) The Tom Brady Stats: Trends and Word-cloud
• Predicting from Digital Footprints More People Interested in Quiting Smoking Next Month? - Leverage Google Trends Data for Predictions and Forecast
• Text Mining (Topic modeling) What Do Twitter Users Talk About Mindhunter (2016)? - Leverage Topic Modeling for Textual Insights
• Network Analysis Analyze Twitter Networks
• Geo-mapping Twitter Users

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Students’ R Shiny apps (from Fall 2017)

• Word-cloud of US News Sites on Facebook
• Sentiments in Twitter Conversations About Two Netflix Shows
• Job Postings on Twitter
• Pro-Trump and Anti-Trump Tweet Map
• Consumer Sentiments Toward Uber and Lyft
• Twitter Discussion Networks After the Election

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Tutorials for COMM621 Quantitative Methods in Research (graduate seminar in SP 2020)

Syllabus: COMM621 the 2019 version

Access the tutorial for COMM621 Quantitative Research Methods

• Bibliometrics and Quantitative Text Analysis of Journal Articles