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text-classification's Introduction

News Text Classification Using Random Forest Algorithm

Developer

Name Student ID
Rizha Al-Fajri G64170003
Fahreza Ikhsan Hafiz G64170077
Komang Elang Surya Prawira G64170098

Description

This project is part of Information Retreival Course (KOM431) in Department of Computer Science, IPB University.

This project developed web-based news text classification using Random Forest model trained with BBC News Site from 2004 to 2005. The developed web could classify english news text to one of five categories : business, entertainment, politics, sport, or tech.

Go ahead and try it on https://news-txt-classifier.herokuapp.com

How to Use

Please prepare english news text that you want to classify. You can copy it from it source or prepare it as .txt file. To classify it, paste it into the provided column (see Image 1) or input the .txt file (see Image 2). The result will be appear in a few moments (see Image 3).

Web Screenshot

Demo-1.jpg
Image 1 - Interface for Classify via Manual Input
Demo-2.jpg
Image 2 - Interface for Classify via File Input
Demo-3.jpg
Image 3 - Interface for Classification Result

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