Bag-of-Words Tool
Convert text documents into numerical Bag-of-Words representations for text analysis, machine learning, and natural language processing.
What is Bag-of-Words?
Bag-of-Words (BoW) is a text representation technique that converts text into numerical vectors by counting word occurrences. It creates a vocabulary from all words in your documents and represents each document as a vector of word counts.
Input Documents
BoW Statistics
About Your Bag-of-Words Model
Enter text documents and click "Generate Bag-of-Words" to see statistics and visualization.
Bag-of-Words Matrix
Your Bag-of-Words matrix will appear here after generation.
Vocabulary will appear here after generation.
How to Add This Tool to Your Blogger Site
Step 1: Copy All Code
Select all the code on this page (click and drag or press Ctrl+A then Ctrl+C).
Step 2: Create New Post
In your Blogger dashboard, create a new post or edit an existing one.
Step 3: Switch to HTML Mode
Click the "HTML" button in the post editor to switch from Compose to HTML mode.
Step 4: Paste & Publish
Paste the copied code (Ctrl+V) into the HTML editor, then publish or update your post.
What Can You Do With This Tool?
This Bag-of-Words tool helps you convert text into numerical format for machine learning, text classification, document similarity analysis, and other NLP tasks. It's perfect for students, researchers, and anyone learning about text analysis.

0 Comments