Text Vectorization Tool

Convert text into numerical vectors using Bag-of-Words technique. Perfect for NLP and machine learning tasks on your Blogger site.

Input Text

Machine learning is a subset of artificial intelligence that enables computers to learn from data without explicit programming. Natural language processing helps computers understand human language.

Try these examples: Short sentence Two sentences Technical text

Vectorization Settings

Text Preprocessing

Convert to lowercase

Remove punctuation

Remove common words

Remove common words like 'the', 'is', 'and' which may not add much meaning

Vectorization Method

Binary (1 if word exists, 0 otherwise)

Count (frequency of each word)

TF-IDF (weighted frequency)

Term Frequency-Inverse Document Frequency gives higher weight to important words

Vectorization Results

0

Vocabulary Size

0

Vector Length

0

Non-Zero Values

Text Vector Representation:

Low value (0-0.3)

Medium value (0.3-0.7)

High value (0.7-1)

Vocabulary (with indices):

How to Add This Tool to Your Blogger Site

Step 1: Copy the Code

Select all the code on this page (click and drag or press Ctrl+A then Ctrl+C).

Step 2: Create a 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 the Code

Paste the copied code (Ctrl+V) into the HTML editor, then publish your post.

What is Text Vectorization?

Text vectorization converts text into numerical vectors that computers can process. This tool uses the Bag-of-Words approach, which creates a vocabulary from your text and represents each document as a vector showing the presence or frequency of each vocabulary word.

Text Vectorization Tool | Designed for Blogger | No Coding Knowledge Required

Bag-of-Words Vectorization | Perfect for NLP Projects