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 èצӰÏñ’s Computer Sciences Department. èצӰÏñ 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, èצӰÏñ 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, èצӰÏñ) and Josh Schneider (ePADD Community Manager and Assistant University Archivist, èצӰÏñ) will demo the latest beta release and show you how ePADD can help you s in new and innovative ways to support your research.