Inspiration
We were inspired to create this because of the constant gun violence that has occurred in 2018. We wanted to create something that could identify gun related key words in tweets due to the prevalence of social media in our daily lives.
What it does
You can implement keywords and it searches the most recent tweets containing specific keywords that also include the location.
How we built it
Using stdlib, node.js and twit (an API client) we pulled recent tweets containing a certain interchangable keyword as well as their respective locations. We filtered all tweets without geoinformation and then outputed this information into an array. For the HTML website - we used Adobe Dreamweaver to code the site through a template and then created a table to display the data from the tweets.
Challenges we ran into
Unfamiliarity with javascript causing implementation problems, long debugging times, not enough tweets, limited locations,
Accomplishments that we're proud of
The whole thing.
What we learned
HTML5, Python, Node.js, javascript, API, working with people from different educational backgrounds, working on 3 separate projects and implementing them together into our final.
What's next for Utilizing Twitter Text to Locate Target Data
This API system can be used to find specific keywords and it is not limited to gun violence. You could search the name of a company or etc and use this system to compile user data and location.


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