Data Mining The Oscars on Twitter Yun Zhou, Weiyan Shi, Mingyung - PowerPoint PPT Presentation

Sep 27, 2023 •398 likes •601 views

Data Mining The Oscars on Twitter Yun Zhou, Weiyan Shi, Mingyung Kim, Jiang Zhu, Alanna Iverson & Dylan Daniels Presentation for STAT222 at UC Berkeley, Spring 2016 What are people saying about the Oscars? Word cloud what people are saying

Data Mining The Oscars on Twitter Yun Zhou, Weiyan Shi, Mingyung Kim, Jiang Zhu, Alanna Iverson & Dylan Daniels Presentation for STAT222 at UC Berkeley, Spring 2016
What are people saying about the Oscars? Word cloud what people are saying in general about the oscars (Jiang)
Most-Mentioned Movies on Twitter
Statistics about each movie’s official twitter account Popularity = (Followers Count) * (Likes per tweet) 01/28/2016 - 02/03/2016 Most popular movies based on their twitter accounts: 1.The Martian 2.The Revenant Brooklyn doesn’t have a twitter account, so the data is missing.
Different statistics per movie 01/28/2016 - 02/03/2016 Most popular movies based on different statistics about each movie: 1.The Revenant 2.The Big Short
Comparison between Stream API and Search API 01/28/2016 - 02/03/2016 01/28/2016 - 02/03/2016 There is some difference between data from the Stream API and Search API. Most popular movies based on total twitter count from Search API: 1.The Revenant 2.The Big Short
Total Actor Mentions Grouped by Actor and Movie Most popular actors: 1.Tom Hardy 2. Matt Damon Most popular movies based on the actors in them: 3.Leo DiCaprio 1.The Martian (Matt Damon) 2.The Revenant (Leo DiCaprio)
Total Popularity of Grouped by Actors and Movie Total Popularity = Total Mentions + Retweets/4 + Favorites/16 Most popular actors: 1.Stanley Tucci 2. Tom Hardy Most popular movies based on the actors in them: 3.Leo DiCaprio 1.Spotlight (Stanley Tucci) 2.The Revenant (Leo DiCaprio)
Total Movie Popularity vs. Mentions per Movie Most popular movies by movie name mentions only: Most popular movies by movie mentions+actor popularity: 1.The Big Short 2.The Revenant 1.Spotlight 2.The Revenant
Sentiment Analysis: Tweet sentiment and the Oscars Predict
Sentiment Analysis: Positive/neutral/negative tweets The movies with the highest percentage of positive tweets: 1. Spotlight 2. The Big Short 3. The Brooklyn
Sentiment Analysis: Distribution of tweet sentiment The movies with the highest means and 95% CI’s for tweet sentiment scores: 1. The Spotlight 2. The Brooklyn 3. The Big Short
Last year’s winner Birdman: $42M
Last year’s winner Birdman: 92%
Last year’s winner Birdman: 88%
Footnote: Sentiment scores are on a scale of -1 to 1. The plot only shows a portion of the full y-axis.
Topic Modeling: Larent Dirichelet Allocation (LDA)
Topics About Leo Dicaprio Topic1: Oscar, semain (week), Dan Topic2: Oscar, new, cries, Topic3: Kate, Winslet, now, Oscar Topic4: today, met, vatican, Oscar
Topics About Charlize Theron Topic1: photo, picture, hot, sexy Topic2: star, photo, film, 90, 2015 Topic3: sean, movie, glossy, photo, penn Topic4: want, mad, max, katrina
Conclusion Dataset “Prediction” Popularity of tweets from/about actors (Alanna) Spotlight Sentiment analysis (Mingyung) Spotlight Popularity of movies on twitter (Jiang) Revenant Critical reception (Dylan) Spotlight or Brooklyn Popularity of movies’ account on twitter (Weiyan) Revenant Topic Modelling (Yun) Revenant

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