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Sketch's
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Sketch's
Inspiration
“Big Data” Our idea is based on an idea of finding a better way to determine the “Pulse” or how the community of twitter really feel about topics relating to Companies, Politicians, Celebrities, World Events etc.
What it does
Our Hack involves Data Mining Twitter and performing Machine Learning/Natural Language Processing algorithms in order to abstract meaningful data from 140 characters or less.
How we built it
Twinion is built using an Android App as the primary source of user experience to the end users. The logic of Twinion is created using Python as the primary programming language for Back End processing data from Twitter API and utilizing Natural Language Processing from Indeco APIs. In addition to this a web application is built using javascript/html/css in order to show the idea of Twinion through Web Development.
Challenges we ran into
Accomplishments that we're proud of
Complete the logic of the implementation Every member was able to learned new technologies and concepts Team was able to work off each other’s skill sets while assisting one another on all aspects of the Hack The team is proud of the completion of an Android App, Web app, Server and Machine Learning logic using Natural Language Processing
## What we learned We learned the power of Natural Language Processing and Machine Learning We learned how to Bootstrap html/css/javascript We learned Twitter’s API and Indeco’s API
What's next for Twinion
Incorporation of a live Database with the possibility of utilizing the power of Amazon AWS Further improvements on the Android Application with add ons for further analysis utilizing Natural Language Processing and incorporating a test plan based on verifying and validating requirements of Twinion Additions of a Dashboard to the Web Application portion which will show charts, graphs and tables representing twitter data and the results of Natural Language Processing algorithms with Indeco’s APIs
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