A tool for analyzing linguistic properties of song lyrics, accompanied by a web app that can provide the results in an accessible manner.
Download the source code.
The lyrics_analysis module can be accessed by
typing import lyrics_analysis in a python file.
To run the web app, navigate to the ./la_site/
directory in your command line and run
python manage.py runserver. You can then access
the app from your browser. The database is not
a part of this source code, you will have to
provide your own corpus.
The module contains the following submodules:
-
evaluation, the main submodule. It provides methods for evaluating song lyrics and outputting a single number for the given metric. It contains the following methods:rhymes: Calculates the proportion of rhyming lines in the lyrics.tf_idf: Calculates the tf-idf metric, which is a way of measuring the 'uniqueness' of words.
The remaining methods will not be maintained in the future.
-
modifications, a submodule that is primarily used for testing purposes. It contains methods that alter text.replace_last_words_on_line: Replaces last words on lines at a given rate by words from a provided list of words.remove_last_word_on_line: Removes last words on lines at a given rate.remove_words_on_line: Removes words (not only at the end of line) at a given rate.
-
sampler, contains the methodsample_n_songs_from_generatorwhich returns a generator that yields randomly selected songs from the source. -
tests, provides the methodcalculate_metric_qualitywhich is able to compute the proportion of correctly scored sets of songs if it is given the approximate order in which the sets should be scored. -
helpers, a submodule containing helper funcions used throughout the code. They may not be maintained in the future.
The database schema is as follows:
Further documentation can be found here: https://drive.google.com/file/d/1jnYymj03vDdY2Asb6pgoqR1p8RvDpzgv/view?usp=sharing