https://github.com/varunon9/naive-bayes-classifier

Implementing Naive Bayes Classification algorithm into PHP to classify given text as ham or spam. This application uses MySql as database.
https://github.com/varunon9/naive-bayes-classifier

classifier ham mysql-database naive-bayes-classifier php spam

Last synced: 3 months ago
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Implementing Naive Bayes Classification algorithm into PHP to classify given text as ham or spam. This application uses MySql as database.

• Host: GitHub
• URL: https://github.com/varunon9/naive-bayes-classifier
• Owner: varunon9
• License: mit
• Created: 2016-10-24T07:42:30.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2018-01-16T18:32:33.000Z (over 7 years ago)
• Last Synced: 2025-03-16T17:27:11.318Z (3 months ago)
• Topics: classifier, ham, mysql-database, naive-bayes-classifier, php, spam
• Language: PHP
• Homepage:
• Size: 408 KB
• Stars: 23
• Watchers: 4
• Forks: 6
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
# Naive Bayes Classifier

Implementing Naive Bayes Classification algorithm into PHP to classify given text as ham or spam using MySql database.

### How to use

    

     train('Have a pleasurable stay! Get up to 30% off + Flat 20% Cashback on Oyo Room' . 

                ' bookings done via Paytm', $spam);

        $classifier -> train('Lets Talk Fashion! Get flat 40% Cashback on Backpacks, Watches, Perfumes,' .

                ' Sunglasses & more', $spam);

        $classifier -> train('Opportunity with Product firm for Fullstack | Backend | Frontend- Bangalore', $ham);

        $classifier -> train('Javascript Developer, Fullstack Developer in Bangalore- Urgent Requirement', $ham);

        $category = $classifier -> classify('Scan Paytm QR Code to Pay & Win 100% Cashback');

        echo $category; // spam

        

        $category = $classifier -> classify('Re: Applying for Fullstack Developer');

        echo $category; // ham

    ?>

### How to install the project-

1. Download the project and extract zip.

2. Create database in MySql-

    1. mysql> create database naiveBayes;

    2. mysql> use naiveBayes;

    3. mysql> create table trainingSet (S_NO integer primary key auto_increment, document text, category varchar(255));

    4. mysql> create table wordFrequency (S_NO integer primary key auto_increment, word varchar(255), count integer, category varchar(255));

3. Open a terminal and move to project folder

4. Edit database connection info in db_connect.php file

5. Execute main.php `php main.php`

### Database Schema

    

![Database Schema](./screenshots/database_schema.png) 

#### Blog

https://medium.com/@varunon9/classify-emails-into-ham-and-spam-using-naive-bayes-classifier-ffddd7faa1ef

##### For any bug/mistake you can create github issue. Contact [email protected] for suggestion/query.