Abstract
The emotional states of employees under stress are likely to manifest themselves in ways other in interpersonal interactions, namely, emails. The Enron Email Corpus was mined by both supervised and unsupervised methods to determine the degree to which this was true for Enron employees whilst the corporation was under investigation. Changes in language patterns were then compared against the timelines of the investigation. The method as described validates both the use of a subset of a very large corpus and the use of tagging methods to understand the patterns in various phrase types as used by Enron employees.
Original language | English |
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Pages | 247-253 |
Number of pages | 7 |
DOIs | |
Publication status | Published - 1 Jan 2015 |
Event | International Conference on Agents and Artificial Intelligence (ICAART-2015) - Duration: 10 Jan 2015 → … |
Conference
Conference | International Conference on Agents and Artificial Intelligence (ICAART-2015) |
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Period | 10/01/15 → … |
Keywords
- Conditional random field
- Enron
- Information retrieval
- Sentiment analysis
- Text processing
- Topic model