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Abstract

We describe what we mean by styles, and show how these can be extracted from electronic messages. We describe the special and important case of email. We show how styles can be used to detect possible spam in a group of messages. We give details of many styles. These are independent of any particular human language in which an electronic message might be written. We show how the use of Bulk Message Envelopes leads to effective styles. We show one usage in distinguishing between newsletters and non-newsletters in bulk messages. Social networks can also be made, with useful marketing and other commercial applications. Styles can also be made to characterize correlations between messages in different electronic communication spaces, like email, SMS, Instant Messaging, Web pages, and Web Services.

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First Claim