Trying to share some code ideas

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Tag: Data Science

Lyrical Success

I’m not gonna write you a love songSara Bareilles

Post 1 of 4

A question I’ve always wondered is their a magic formula for creating a number one song. Many song writers are prolific however their song doesn’t necessarily have commercial success. It may be difficult to quantify how the musical composition relates to the song’s success. However I am going to make an attempt at evaluating the lyrics of songs to determining if we can accurately predict if a song will be commercially successful.

Lyrical Success – Getting the Data

To obtain the data I am going to use Beautiful Soup and a few other packages to scrap the content from the websites.

Part 2 of 4

Steps for Getting the Data

  1. Get the Songs Made by the Artists
  2. Extract the List of Songs by the Artist
  3. Scrap the Lyrics for Each Song by the Artist
  4. Extract the Lyrics from Each File
  5. Scrap Rankings by Artists
  6. Parse the Song Rankings Files

The first step is getting the list of the songs by the artist. I am using the website http://www.azlyrics.com to obtain the list of songs and the lyrics for the songs.

Modeling and Prediction for Movie Audience Ratings

Modeling and Prediction for Movie Audience Ratings

Synopsis

One of the key issues facing film production companies is, will the production company make a profit from a movie. It is assumed that favorable audience reviews will in-turn lead to higher ticket sales or DVD sales, both items directly affect a movie’s profitability.

The analysis will look at what attributes lead to a higher average audience review score on the public website, Rotten Tomatoes

Spoiler Alert The analysis creates a model that is close, but isn’t 100% confident.

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