To examine how many posts in your dataset contain toxic words or phrases, you can use a pre-compiled dictionary of toxic terms and swear words, developed as part of the following publication: K. Hazel Kwon, & Anatoliy Gruzd. (2017). Is…
Dataset Type: a CSV file containing messages from Twitter Step 1: Download the practice dataset to your computer: ExploreCanada.csv Step 2: Login to with your Google or Yahoo ID (or create a “standard” account) Step 3: Import the sample dataset from Step 1…
URL: https://docs.google.com/document/d/1_EH30ycPj2r6t0vH1QSSBjKJ209qq7-nwz2zAJno8Mk/pub?embedded=true
By the end of this tutorial you will learn how to create videos of dynamic networks like this one: PART 1: Network Discovery in Netlytic Data source: Twitter Step 1: Connect your Twitter account to Netlytic Note: Alternately, you can download the…
Topic: Conversation about #blackberry on Twitter Data source: Twitter Dataset: http://bit.ly/blackberry14 Step 1: Connect your Twitter account to Netlytic Step 2: Go to https://twitter.com/search-advanced and create a test search query. For today’s tutorial, type “#blackberry” into the “Any of these words”…
Data source: Twitter Step 1: Connect your Twitter account to Netlytic Note: Alternately, you can download the “Ebola” dataset that will be used for this tutorial from https://docs.google.com/spreadsheet/pub?key=0AilmXl-I6ZWkdHlsZElNWFZsNG9qM0pqZ3JhcGstaEE&single=true&gid=0&output=csv Step 2: Go to https://twitter.com/search-advanced and create a test search query. For today’s tutorial,…
Dataset Type: a CSV file containing messages from Twitter Step 1: Download the CCK11 dataset to your computer LASI_CCK_11_Twitter – sample.csv Sample dataset Notes: This dataset contains a sample of public tweets posted by participants in a Massive Open Online Course…