How to Make word cloud ? the easiest and fastest way - simple free tool
How to Make WordCloud Easy
WordCloud Generator, with tabular format support
A word cloud or wordle or weighted list in visual design) is a novelty visual representation of text data, typically used to depict keyword metadata (tags) on websites, or to visualize free form text. Tags are usually single words, and the importance of each tag is shown with font size or color. This format is useful for quickly perceiving the most prominent terms to determine its relative prominence. The bigger term means greater weight.
below an example of the word cloud generated to show top countries have migrants migrated to Canada for the last 10 years "just as an example".
as you can see that we are using a mask for a twitter app. similarly you can use any shape or picture as a mask for your data ...why this tool is different?
This tool can support reading data from CSV file, so you can analyze and visualize your data easily with just few clicks, which is not available in any other online tools.
How to use the tool:
1- Download from the link below:
2- Make a new folder and copy the downloaded file to it, then extract the file.
3- run .exe file , then press on Extract
4- Wait till extraction completed..
5- Open the Extracted folder
6- There are main 5 files as explained in below picture
7- Add your data for example your text into “wordcloud.txt” file and save it, keep the same name ..
8- Open the Application “tool” duple click
9- The application will open as below...
10- Choose background color, Mask “ if you want” , and choose the Hight and Width
First I will choose no mask.
11- Congratulation …
In case if we need to use a mask, choose the mask you want from the mask folder and save it as “mask.jpg”. here I will choose Alice picture...
12- Run the application again with the same steps but I will choose a mask this time...
Congratulation Output file ..
For CSV Follow the Same CSV File format and just replace the data with your data, and save the file as “wordcloud.csv”