1 / 5

MLP Lyrical Analysis

MLP Lyrical Analysis. % of Unique Words # of Unique Words Average Word Length # of Lyrics # of Characters. Input Feature Vectors:. C Application. Traversal of directory in search of lyric data (*.lyr) Parsing and loading lyrics into proper data array structure.

hugh
Download Presentation

MLP Lyrical Analysis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. MLP Lyrical Analysis • % of Unique Words • # of Unique Words • Average Word Length • # of Lyrics • # of Characters Input Feature Vectors:

  2. C Application • Traversal of directory in search of lyric data (*.lyr) • Parsing and loading lyrics into proper data array structure. • Filtering of data skewing characters. • Analysis to extract needed characteristics of lyrics • Output into file with proper format for MLP program.

  3. MLP Development • Normalization of Feature Vectors • Optimal solution for # of layers and # of neurons/layer. • Compete Against Baseline Kmeans algorithm (~70%) Rate • Try to achieve a Test Crate nearly as good as Train Crate

  4. Modifications to Original Specification • Study of data input feature vectors to determine correlation with classification. • Changing the size of the ouput classification to improve performance. • Study of different types of data's effectiveness.

More Related