We present in this paper a procedure to automatically discover a user s personal topics by clustering their emails. Unlike previous work, we automatically label topics using appro...
Statistical language models can learn relationships between topics discussed in a document collection and persons, organizations and places mentioned in each document. We present a...
David Newman, Chaitanya Chemudugunta, Padhraic Smy...
: As more information is made available online, users collect information in personal information spaces like bookmarks and emails. While most users feel that organizing these coll...
This paper is about finding explicit and implicit connections between people by mining semantic associations from their email communications. Following from a sociocognitive stance...
Email has become an integral and sometimes overwhelming part of users’ personal and professional lives. In this paper, we measure the flow and frequency of user email toward th...
Lisa Johansen, Michael Rowell, Kevin R. B. Butler,...