I need a program that scrapes trending twitter feeds and performs a text analysis on these tweets to return the 10 most commonly words in them, not including stop words (irrelevent words. I am only looking for people places and things).
For example, if "iPhone 6" is trending, this software should examine all of the tweets (or at least a good amount, like 3000) that appear in the "iPhone 6" search query timeline (this: [url removed, login to view]), the program should look through all of these tweets and look for frequently appearing words (not including "stop words"), examples would be "Apple" "phone" "new" "bending", etc.
The program should provide 10 frequently used words in tweets about the 10 most recent trends. Twitter trends are geographically based, so the program should only scrape trends geolocated in NEW YORK CITY, USA.
Finally, the program should display these trends in a simple user interface. The user should be able to open the application (if possible, it would be nice if this can be completely web-based) and see the current trends, as well as the 10 most frequently words associated with that trend.