WordCloud

OBJECTIVE :

Creatig a word cloud from the definition of "Big Data" as provided by Wikipedia.

OVERVIEW:

INPUT - WEB SCRAPPING

For this project, the definition of “Big Data” along with its characteristics has been used to generate a word could after removing certain stop words. To establish a precise model for model comparison we have only used the introduction, definition and characteristics of Big Data as provided in the aforementioned article from Wikipedia. We have not used any information on “Architecture”, “Applications” etc for this analysis.

DATA CLEANING:

We have converted the data into a text corpus after removing Stopwords and unnecessary text resulting from scrapping Wikipedia like:

PACKAGES USED -

• tm
• NLP
• rvest
• RColorBrewer
• SnowballC
• Stringr
• worldcloud

FINAL OUTPUT -

The worldcloud is saved in form a png file.