News Mood

Check on the world's and certain country's moods based on current events

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Inspiration

News applications do not truly give us a worldwide perspective. News Mood solves this issue by getting the sentiments of news articles and visualizing them onto a map of the world.

What it does

Pulls articles from around the world and does sentimental analysis to determine whether articles are happy or sad. Users are able to press on country to view a list of the articles and the specific sentiments. Negative sentiments are shown shades of red whereas positive values are shown as shades of green and blue. Neutral sentiments are shown as yellow.

How we built it

Pulled news from Bing News API and used npm package 'sentiment' to do sentimental analysis. We then visualized the data with the google charting API.

Challenges we ran into

Handling tons of Bing requests. Connecting back end and front end.

Accomplishments that we're proud of

Pulling news from around the world and charting it.

What we learned

We learnt about data visualization and handling many API requests.

What's next for News Mood

In depth statistical analysis and new data visualization charts. Properly integrate Amazon Alexa.

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Updates

posted an update —

I worked mainly on the backend of this project. We used the Bing News API to pull news from different sources, and sort them based on location. Finally, we used semantic analysis to analyze the overall attitude of the article. Using articles from the same country, and their attitude rating, we rated countries based on their "happiness". We used the Google Maps API to visualize this data in a meaningful way, and used a Google Charts API to also chart the articles. Using all of this, we developed a new way to visualize and understand the world news.

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