ওয়ার্ড ক্লাউড জেনারেটর

What does this tool do

The Word Cloud Generator visualizes word frequency as a cloud. Paste your text, click Generate Word Cloud, and see which words appear most often — larger words indicate higher frequency. Use Max words and Min count to filter the display. Word counting reuses the same tokenization as the Text Tokenizer: whitespace split, punctuation stripped from boundaries.

How to use it

1. Choose input mode — From text tokenizes pasted text automatically (same as Text Tokenizer). From list lets you enter words and frequencies manually, one per line (e.g. word 10 or word<Tab>10).
2. Enter or paste — For text mode: type or paste text; use Generate dummy text to quickly fill. For list mode: enter one word frequency pair per line.
3. Click Generate Word Cloud — The tool processes your input and renders a word cloud.
4. Adjust options — Set Max words (default 80) to limit how many words appear, and Min count to exclude low-frequency words.
5. Hover for counts — Hover over any word to see its frequency count in a tooltip.

How it works

Word counting is delegated to the Text Tokenizer:

• Text is split on whitespace.
• Leading and trailing punctuation (Unicode \p{P}) are stripped from each word.
• Empty strings are filtered.
• Frequency is computed and sorted by count descending.

The cloud layout uses d3-cloud to pack words without overlap. Font size scales with frequency. All computation runs entirely in your browser.

Use cases & examples

• Quick overview — See at a glance which terms dominate a document or transcript.
• Presentations — Create a visual summary of key topics from meeting notes or articles.
• Content analysis — Identify recurring themes in blog posts or customer feedback.
• Education — Illustrate word frequency and vocabulary distribution in texts.

Example

For input: "hello world hello.":

• Tokens: hello, world, hello
• Cloud: "hello" appears larger than "world" because it occurs twice.

Limitations & known constraints

• Input cap — Maximum 512KB (~512,000 characters). Larger input returns an error.
• Client-side only — No server; processing runs in the browser. Very large inputs may cause brief UI lag.
• Simple tokenization — Same as Text Tokenizer: whitespace split only; no stemming, lemmatization, or language-specific tokenization.
• For detailed analysis — Use the Text Tokenizer for frequency tables, copy output, and "Analyze in Statistics" integration.