News classification using TF-IDF and Word2Vec as text representation with random forest and SVM as the model for classification. This project aims to classify Indonesian news onto three category entertainment, sports, and politics.
-
Notifications
You must be signed in to change notification settings - Fork 0
News classification using TF-IDF and Word2Vec as text representation with random forest and SVM as the model for classification. This project aims to classify Indonesian news onto three category entertainment, sports, and politics.
KomangAndika/News_Classification
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
News classification using TF-IDF and Word2Vec as text representation with random forest and SVM as the model for classification. This project aims to classify Indonesian news onto three category entertainment, sports, and politics.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published