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Sentiment Forecast is a data visualization web application which pulls Natural Language Processing data from social media to create dynamic graphs

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dns-mcdaid/SentimentForecast

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Sentiment Forecast 1.0

Built for HackNYU Hackathon

Synopsis

Sentiment Forecast is a javascript data visualization application running on d3, with an aim to display shifts in sentiment in the form of a stock market-esque graphing.

Usage

This project can be accessed in your web browser via this link.

To run this project locally, navigate to your SentimentForecast directory and enter python -m SimpleHTTPServer. With this complete, open a web browser and go to localhost:8000. This will allow d3 to read any tsv or JSON files used in the program without any permission errors.

Dependencies

In version 1.0, we're relying on a pre-parsed JSON object of sentiment data returned from a call to Alchemy in an earlier process. Version 2.0 aims to implement a Mongo Database to handle this in the future.

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Sentiment Forecast is a data visualization web application which pulls Natural Language Processing data from social media to create dynamic graphs

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