Description: All Presidential State of the Union Addresses from 1790-2006 organized by similarity of terms within the text and colors showing 4 communities, or classes, of Addresses. This is an example of applying social network analysis to text similarity. It
Holding a hands-on workshop at SMU in a couple of weeks. Have a collection of digitized books, music lyrics, letters, or articles, and want to visualize a map of all locations mentioned in the texts? A combination of Python libraries,
Last Friday we held a hands-on workshop introducing text data mining tools and methodologies using the Armstrong Browning Library’s Victorian Collection (Workshop Materials) We walked participants through a series of exercises where everyone examined metadata, prepared/cleaned the corpus for analysis,
On September 16 at 2pm, drop on by the Active Learning Classroom in Moody Library, room 104, for a showcase of digital poster presentations on data research and digital humanities. There will be presentations focusing on text data mining, data
New Guide: Mining Social Media Content Need to mine data from Twitter, Facebook, Reddit, or Instagram? This guide highlights the top tools you can use to begin mining content.
Source: The Letters of Robert Browning and Elizabeth Barrett Barrett, Vol. 1 (of 2) via Project Gutenberg Methodology: Scroll past the three visualizations below. Map visualization of mentioned locations (circle radius proportional to frequency of mentions) Wordcloud visualization of mentioned
What is Text Data Mining (briefly): Text Data Mining is the structuring of unstructured text content, followed by the analysis of that unstructured content. Structuring text content applies some sense of order that can then be analyzed. Examples can include
Where is *your* happiest place? Use this online tool to find out. Select from available criteria, set the direction, and assign weights. Data Source: Complete Collection, v1.01 Background: In 2014 I held a GIS workshop leading participants through an ArcGIS
Here is a quick demo of text data mining using Tweets about the Baylor Lady Bears Basketball Team. Click the full-screen button on the bottom-right of the iframe below to view in full screen. NVivo 12 Plus was used to
