🎓 Text Classification with Orange Using Kaggle Dataset – Student Corner

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Thanks Gratio, our student as homeschooler in Jayapura. 🤠

🎓 Text Classification with Orange Using Kaggle Dataset

In this video, we explore how to build a Text Classification Model using Orange Data Mining — a visual programming tool for data science and machine learning.

We’ll walk through the entire workflow:
🧩 Importing text documents
🧼 Preprocessing text data
🪶 Converting text into Bag of Words
📊 Training a Logistic Regression model
✅ Evaluating model performance using Test & Score and Confusion Matrix
🔍 Viewing results with Corpus Viewer

This hands-on tutorial is perfect for beginners and students who want to learn Natural Language Processing (NLP) without coding — all using Orange’s intuitive interface.

📚 Dataset Source:
🔗 Kaggle – 10 Dataset Text Document Classification

🧠 What You’ll Learn:
1. How text preprocessing works in Orange
2. How to visualize document data
3. How to train and evaluate a text classification model
4. How to interpret a confusion matrix

💡 Tools Used:
1. Orange Data Mining
2. Logistic Regression
3. Kaggle text dataset

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#OrangeDataMining #TextClassification #MachineLearning #NLP #DataScience #KaggleDataset #NoCodeML