Skip to content

Merker56/Sentiment-Analysis-of-Songs-Lyrics

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits

0_models_pn.ipynb

0_models_pn.ipynb

 
 

1_models_4Q.ipynb

1_models_4Q.ipynb

 
 

2_models_pn_4Q_RNN.ipynb

2_models_pn_4Q_RNN.ipynb

 
 

3_models_BERT_batch_lr.ipynb

3_models_BERT_batch_lr.ipynb

 
 

MER_raw.pkl

MER_raw.pkl

 
 

MoodyLyrics4Q_raw.pkl

MoodyLyrics4Q_raw.pkl

 
 

README.md

README.md

 
 

W266 Fall 2019. Project Final Report. Joseph Mercer, David Gamez.pdf

W266 Fall 2019. Project Final Report. Joseph Mercer, David Gamez.pdf

 
 

clean_data_codebook

clean_data_codebook

 
 

data_lyrics_clean (1).pkl

data_lyrics_clean (1).pkl

 
 

data_mer_clean (1).pkl

data_mer_clean (1).pkl

 
 

data_moody_clean (1).pkl

data_moody_clean (1).pkl

 
 

models_BERT_moods.ipynb

models_BERT_moods.ipynb

 
 

Repository files navigation

Sentiment-Analysis-of-Songs-Lyrics

Please note that for this project, we leveraged Google Colab to collaborate on the files. So you will have to update the file locations and likely have to remove the mount step at the beginning of files as those refer to the the mount functionality of Google Colab.

About

A natural language processing model to predict the mood of a song from only the song’s lyrics using BERT

Topics

natural-language-processing bert google-colab

Resources

Readme
Activity

Stars

1 star

Watchers

2 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages