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ORIE4741 “Learning with Big Messy Data”. Implemented sentiment and mood (Happy, Angry, Sad, and Relaxed) classification of song lyrics that are less structured and logical, with pauses and emphasis important to the meaning. Models trained on flowing prose don’t directly work. Joint work with Aliyah Geer and Elise Kronbichler

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Name		Name	Last commit message	Last commit date
Latest commit History 51 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Graphs		Graphs
bert		bert
wordclouds		wordclouds
4741_Project_Proposal.pdf		4741_Project_Proposal.pdf
Final_report.pdf		Final_report.pdf
MoodyLyrics4Q.csv		MoodyLyrics4Q.csv
ORIE_4741_Final.pdf		ORIE_4741_Final.pdf
README.md		README.md
Untitled.ipynb		Untitled.ipynb
lyrics.csv		lyrics.csv
lyrics_annotated.csv		lyrics_annotated.csv
lyrics_annotated_fixed.csv		lyrics_annotated_fixed.csv
lyrics_better.csv		lyrics_better.csv
lyrics_complied_all.csv		lyrics_complied_all.csv
lyrics_complied_all_english.csv		lyrics_complied_all_english.csv
midterm_report.pdf		midterm_report.pdf
new_vectorized.csv		new_vectorized.csv
preprocess.py		preprocess.py
processed_lyrics.csv		processed_lyrics.csv
processed_lyrics_delet.csv		processed_lyrics_delet.csv
processed_lyrics_delet2.csv		processed_lyrics_delet2.csv
read_lyrics (1).ipynb		read_lyrics (1).ipynb
read_lyrics.ipynb		read_lyrics.ipynb
update_vactorized.ipynb		update_vactorized.ipynb
vectorized.csv		vectorized.csv
vectorizer.py		vectorizer.py
word_clouds.py		word_clouds.py