SANDMapMaker

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  Output map for search query '#NBA'

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  Output map for search query '#Nike'

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  Output map for search query 'Fortnite'

SANDMapMaker

S.A.N.D. will take given search parameters and collect relevant tweets. These are then run through a sentiment analysis program, and tied to their city of origin. The results are then displayed on a map of the continental United States, scaled according to tweet density and colored according to average sentiment.

This presentation was created to help explain S.A.N.D. and to give insight into the creation process, as well as highlighting future applications of the project: https://prezi.com/view/XLIXKevxjyJ6wIbK8vPM/

This application utilizes many powerful python libraries / APIs that are available for free. These must be installed in order for the program to function properly. Below is a list of these libraries :

1) Tweepy (link: http://docs.tweepy.org/en/v3.6.0/install.html) IMPORTANT: Tweepy requires you to have access to a twitter API key (found here: https://developer.twitter.com/en/docs.html). On lines 17 and 18 of SAND_1_3 enter your valid key and key secret, respectfully, in place of the text.

2) vaderSentiment (link: https://github.com/cjhutto/vaderSentiment)

3) matplotlib (link: https://matplotlib.org/users/installing.html)

4) basemap (link: https://matplotlib.org/basemap/users/installing.html)

5) numpy (link: https://www.scipy.org/install.html)

Disclaimer: Several code samples were taken directly from developers’ websites in this program. We did our best to indicate this in the comments near any copied code.

September 23, 2018

Team: Seth Layton Greg Pennisi Will Wolz

Built With

• python