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SpamContent
The SpamContent engine analyzes message content
to determine if most people would find it offensive. Message
format, layout, design and vocabulary, are considered as
part of thousands of checks on message attributes including:
- To Field
- Subject Field
- Header Fields
- Email Format, Design, and Layout
- Vocabulary, Word Formatting and Word Patterns
- Foreign Language Detection
- SMTP Envelope Content and Analysis
- Country Trace
- Image Layout Classification
- Hyperlink Analysis and Comparison
- Contact Verification
Mailshell's SpamContent engine also parses
words into pieces (or n-grams), which allows the detection
of similar vocabulary even if the words are not exact matches.
Mailshell also conducts Bayesian analysis
of message content. The engine then uses its SpamAdapt
AI technology to ensure that the engine 'learns' over
time, as spam changes. The Mailshell SDK allows customers
to choose 'auto training' or manual training, at their discretion.
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