Textal

Last Updated: 10/18/2018 12:00:00 AM
Site: http://textal.org/

Textal is a text analysis app for the iPhone and iPad offered by the UCL Centre for Digital Humanities. It creates word clouds from texts, websites, tweets and documents, then allows users to explore the statistics and relationships between words in the text. As a tool, it is intended as an introduction to to text analysis while expanding the functionality traditionally implemented in word clouds.

Documentation

Creator(s): Melissa Terras and Steven Gray (UCL Centre for Digital Humanities)

Creator's Site: http://www.ucl.ac.uk/dh

Creator's Email:

Repository:

Attributes

Type of analysis: Visualization Analysis Capture
Type of license: Free
Background Processing: Not Applicable
Web Usable: Software you Download and Install
Ease of Use: Very Easy
Warning: Still in Development
Usage: New
TaDiRAH Goals: Capture Analysis
TaDiRAH Methods: Network Analysis Other (analysis) Statistical Analysis Stylistic Analysis Visualization

List this tool appear on

Wikipedia Scraping and Analysis

This list is focused on using the WIScker Wikipedia scraper to analyze the historical makeup of a Wikipedia article in different ways. It includes a number of visualizations that can be used with WIScker, and is an interesting and accessible first experience in text analysis. Additionally, by using the Wiki Map Project, users can map the connections between various articles linked to and by their original article of study.

Comments

Amy Dyrbye

Textal also appears in Project Bamboo's DiRT, a registry of digital tools suitable for academic research. DiRT contains a wide range of tools and software searchable by task, such as annotation, content management, collaborative research, or authoring. It is an excellent resource for Digital Humanists seeking the right tool for the task at hand.

View Textal in DiRT:

http://dirt.projectbamboo.org/resources/textal

View the full site:

http://dirt.projectbamboo.org/

Bennett Kuwan Tchoh

Textal was used in this research abstract available in XML format https://raw.githubusercontent.com/lehkost/ToolXtractor/master/data/xml/2015/GRAY_Steven_Textal__Unstructured_Text_Analysis_Workflow.xml

Rating

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