ePADD for Analyzing Email Archives
Speaker(s): Peter Chen and Josh Schneider
Join the project team from , an open source, freely downloadable software package that use machine learning, including natural language processing and named entity recognition, to provide robust access to email archives.
ePADD grew out of , a personal digital archiving tool developed by Sudheendra Hangal during his PhD work in the Mobisocial Laboratory of ¿Û¿Û´«Ã½â€™s Computer Sciences Department. ¿Û¿Û´«Ã½ Libraries saw the potential for similar functionality to be applied towards a tool that supports of archival appraisal, processing, and research, and received two years of grant funding to develop that tool, which was released in June 2015.
In November 2015, ¿Û¿Û´«Ã½ Libraries received a second round of grant funding to further develop the program’s scalability, usability, and feature set.
In this session, Peter Chan (ePADD Project Manager and Digital Archivist, ¿Û¿Û´«Ã½) and Josh Schneider (ePADD Community Manager and Assistant University Archivist, ¿Û¿Û´«Ã½) will demo the latest beta release and show you how ePADD can help you s in new and innovative ways to support your research.