Simple machine learning and analysis applied to news.

After installing Homebrew, download and install Mongo and GSL by running the following from the project root:

brew install mongodb
brew install gsl # improves classification performance

Ensure that Mongo is running with:

brew services start mongodb

After installing Ruby and Bundler, run the following from the project's root to install necessary gem dependencies:

bundle install

After installing Node and NPM, run the following from the project's root:

npm install

## Crawling News Sources

To crawl news sources and save their content to the `articles` collection of the `news_classifier` database, run the following from the project root:

```shell
ruby scripts/crawl.rb

To drop the articles collection before crawling, add the --drop-collection option:

ruby scripts/crawl.rb --drop-collection

Once the news sources have been crawled, run the following command to launch the interactive classifier:

ruby scripts/classify.rb

Once the news sources have been crawled, run the following command to find content related to provided strings:

ruby scripts/find_related.rb

Onde the news sources have been crawled, run the following command to calculate the average sentiment for each source.

node scripts/sentiment.js