gromag / data-science-specialisation-word-cloud Goto Github PK

This app does a simple text analyses of the most frequent words of a webpage, shows a word cloud and a tabular list of those words.

The widgets under the Further settings allow to customise the way the word are filtered, for example allows to exclude common words or set a top and lower bound to the frequency of those words.

Before you start you will need to fill in a URL in the Page Url text field and hit Fetch to start the analysis.

Once the page is loaded you can adjust Frequency, exclude certain words and set the maximum number of words to analyse.

In the Text corpus tab you can inspect the raw text that was analysed while in the Words list tab you can see all words and their frequency in a tabular format, filter and reorder them.

• Repository: https://github.com/gromag/wordcloud
• Application: https://gromag.shinyapps.io/wordcloud

The MIT License (MIT)

This analysis was done as a course project for the 'Developing Data Products' course which is part of the Data Science Specialisation provided by Johns Hopkins Bloomberg School of Public Health via Coursera.