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Innovation award
Nominee: 2x
Winner: 1x |
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.
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| Name: |
Spam Filter |
| Base name: |
spamfilter |
| Description: |
Classify spam text messages using a knowlegde base |
| Version: |
- |
| PHP version: |
- |
| License: |
GNU General Public License (GPL) |
| All time users: |
3174 users |
| All time rank: |
992 |
| Week users: |
4 users |
| Week rank: |
684  |
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May 2005
Number 3
Prize: One book of choice by O'Reilly |
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 |
| 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%) |
739 |
| Month: |
Not yet rated by the users |
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