SentimentViZ

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About

Any text you enter will be analyzed sentence by sentence for positive and negative sentiments, which will bleed into the visualization and blue and red spots, respectively. The more subjective each sentence is, the farther right it will appear in the visualization.

Credits

Created by Zachary Yaro with Jamie Fox-Canning.

Backend built using Python's Flask, NLTK, and TextBlob libraries. Frontend uses ResponsiveVoice, Three.js, and MaterialZ libraries. Live instance powered by Heroku.

The source code is available on GitHub.