Name | Student ID |
---|---|
Rizha Al-Fajri | G64170003 |
Fahreza Ikhsan Hafiz | G64170077 |
Komang Elang Surya Prawira | G64170098 |
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
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).
Image 1 - Interface for Classify via Manual Input |
Image 2 - Interface for Classify via File Input |
Image 3 - Interface for Classification Result |