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Innovation award
Nominee: 23x
Winner: 5x |
This class can be used to detect spam in text messages using Bayesian techniques.
It analyzes the text words in terms of n-grams in a way that is idiom independent.
It can be trained to progressively distinguish what is spam and what is not spam by detecting patterns in training samples. Training data is stored in a MySQL database.
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| Name: |
Bayesian Spam Filter |
| Base name: |
bayesianspamfilter |
| Description: |
Detect spam in text using Bayesian techniques |
| Version: |
1.1 |
| PHP version: |
4.0 |
| License: |
BSD License |
| All time users: |
3794 users |
| All time rank: |
726 |
| Week users: |
10 users |
| Week rank: |
190  |
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December 2007
Number 3 |
Determining whether a message is spam or not, is a subjective task.
Using Bayesian techniques it is possible to make a computer program learn what can be spam and what may not be spam.
A program may be trained using sample messages and telling it which are spam. Once the program is well trained, it may start guessing what is spam all by itself.
This package implements solution written completely in PHP that uses Bayesian techniques to detect spam text messages.
Manuel Lemos |
| Project record: |
phpspam |
| Popularity score: |
11.58 |
| Vitality score: |
1.0 |
| Ratings | Utility |
Consistency |
Documentation |
Examples |
Tests |
Videos |
Overall |
Rank |
| All time: |
Good (80.0%) |
Sufficient (65.0%) |
Sufficient (60.0%) |
Sufficient (70.0%) |
Sufficient (68.8%) |
- |
Sufficient (66.4%) |
389 |
| Month: |
Not yet rated by the users |
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