Innovation Award
May 2005
Number 3 |
Determining whether a text in a message or in Web page is spam is a difficult task, as it requires a kind of contextual analysis that is not trivial to emulate in software.
This class provides a solution that can classify text and build a knowledge base of what should be or should not be considered spam based on information that may eventually be provided by a human user.
Since it processes text that can be presented in many formats, it could be used to classify and detect spam on many Internet services like e-mail, Web pages, forums, chat services, etc..
Manuel Lemos |
This class can automatically classify text messages to determine whether or not their are considered to be spam.
It can build a knowledge base of known text expressions that can be looked up later to evaluate a factor that expresses the probability of a given text to be spam.
This class could be used in Web mail applications or even in less obvious applications like forums and guest books, acting like an semi-automatic moderator.
| Ratings | Utility |
Consistency |
Documentation |
Examples |
Tests |
Videos |
Overall |
Rank |
| All time: |
Good (80.0%) |
Sufficient (65.0%) |
- |
Sufficient (70.0%) |
Good (80.0%) |
- |
Sufficient (61.5%) |
556 |
| Month: |
Not yet rated by the users |
No application links were specified for this class.
If you know an application of this package, send a message to the
author to add a link here.
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