Analyze Social Data from The Oscars
computer science java analytics data analysis python data structures
$0
top 0
100%
entries reviewed
DONE
43 months ago
Default challenge

The Challenge is closed. Please send any late submissions to aaron@mindsumo.com

On February 22nd 2015, 36.6 million people tuned into the 87th Annual Academy Awards, or The Oscars. The Oscars is the oldest entertainment award ceremony and honors cinematic achievements in film.

We’re curious whether you can use publicly available data from Twitter to understand the public’s sentiment toward the nominees, uncover trends in film popularity, and predict the award winners. We collected data on tweets using the hashtag #Oscars2015 between 5:30PM PST and 9:30PM on the day of the ceremony.

Deliverables

Using the dataset found here (https://s3.amazonaws.com/mindsumo/public/oscar_tweets.csv+(1).zip) and the programming language of your choice, submit the following:

1) Popularity Rank: A list of the most tweeted about best picture nominees (ranked from 1-8)

2) Winner Announcement Prediction: Hour and minute when the winner (Birdman) was mentioned on Twitter most frequently

3) Location: A list of which states were the most active in tweeting about #Oscars2015 (rank ordered from most active to least)

Optional:

Visualize the data trends. (e.g. Create a simple web or mobile app that displays the data points listed above and any other interesting trends you identify.)

Criteria:

Your application will be judged on its efficiency, clarity, and style.

    Submissions will be graded on the following criteria:
  • Meets Deliverables
  • Creativity
  • Clarity
Leaderboard
Winner receives $0
Leaders will be displayed here once submissions are reviewed...