Inspiration
Love of literature and music.
What it does
Converts blocks of text into sequences of piano notes allowing you to see the differences in sentiment between different authors, genres, and writing styles.
How we built it
LAMP, HTML/CSS/JavaScript, Amazon Web Services
Challenges we ran into
python. note generation algorithms. cross browser support.
Accomplishments that we're proud of
We're hot and live.
What we learned
AWS, JavaScript, teamwork, natural language processing, synergy.
What's next for Music, Literally
Scaling. In-app purchases. Music trans-vocalization analytics.
Built With
- amazon-web-services
- apache
- atom
- cake
- css
- friendship
- fullstack
- html
- idle
- javascrpt
- jquery
- mysql
- php
- python
- sublime-text
- swears
- textblob
- ubuntu
- word-sentiment-analysis
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