Textal is a text analysis app for iPhone and iPad. It allows you to create wordclouds from your favourite text, website, tweet stream, or document. Textal then allows you to interact with the wordcloud, to drill down further and explore the statistics and the relationships between words in the text. It has been designed to be an easy introduction to text-analysis, whilst providing useful functionality missing from previous implementations of wordclouds. Textal transforms wordclouds into useful tools for analysis, research, and play. We look forward to seeing how you use it!
Textal is the brain child of Melissa Terras (UCLDH) and Steven Gray (UCL CASA). Melissa is the Co-Director of UCL Centre for Digital Humanities and Reader in Electronic Communication in the Department of Information Studies at UCL, and generally hangs out @melissaterras on twitter. Steven Gray is a Research Associate *insert stuff here* at CASA, and also a Research Associate in UCL Centre for Digital Humanities. Melissa and Steven worked together previously as part of the project team on QRator, and decided to work together on Textal when Melissa managed to persuade Steven that fixing wordclouds would be a good idea.
Textal received funding from the EPSRC Additional Sponsorship award to UCL 2011-12 (Grant Reference EP/J501396/1) held in the Office of the UCL Vice-Provost (Research). It is also supported by NCRM under the Talisman node. The project is funded through funds from EPSRC and NCRM which has allowed us to bring Textal to you for entirely free!