My intent of scraping this data is to figure out how each stadium is described. I have only selected a specific part of the description to scrape from to not overload the website and be courteous of their website. I am going to scrape from a stadium analysis website and perform sentiment analysis on stadiums like Tottenham Hotspur Stadium and other stadiums.

## Joining, by = "word"

After scraping the data on one of the newer renovated stadiums in EPL, I can see that the sentiments of the stadium stay very far right with a overall good score. The most common word is the structure and it aligns with a trustworthy sentiment and positive sentiment. Ground and land also come up with positive and trustworthy sentiments, knowing that all EPL ground is actual real grass this makes sense as the pitch is kept very smooth.

This plot shows word count of what is on the webpage document and the amount of times it is stated on the page. Obvious answers as stadium and field are the top words spoken about.

This shows a couple words that were able to be documented through the bing sentiments and shows what is negative and positive. Fans were the biggest potivity score here as it shows tottenham has really good supporters.

## [1] review_content
## <0 rows> (or 0-length row.names)