Email grouping and summarization: an unsupervised learning technique
Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review
This paper presents the design and implementation of a system to group and summarize email messages. The system exploits the subject and content of email messages to classify emails based on users’ activities and auto generate summaries of each incoming messages. Our framework solves the problem of email overload, congestion, difficulties in prioritizing and successfully processing of contents of new incoming messages and difficulties in finding previously archived messages in the mail box by providing a system that groups emails based on users’ activities, and providing summaries of emails.
| Original language | English |
|---|---|
| Title of host publication | 2009 Wri World congress on computer science and information engineering |
| Place of Publication | Piscataway |
| Publisher | IEEE |
| Pages | 575-579 |
| Number of pages | 5 |
| Edition | 5 |
| ISBN (Print) | 9780769535074 |
| Publication status | Published - 2009 |
| Event | WRI World Congress on Computer Science and Information Engineering - Los Angeles, CA, United States Duration: 31 Mar 2009 → 2 Apr 2009 |
Publication series
| Name | WRI World Congress on Computer Science and Information Engineering |
|---|---|
| Publisher | IEEE |
| Number | 5 |
Conference
| Conference | WRI World Congress on Computer Science and Information Engineering |
|---|---|
| Country | United States |
| Period | 31/03/09 → 2/04/09 |
Documents
- ayodele_wri09.pdf
Final published version, 860 KB, PDF document
Related information
ID: 100149
