| siddgood/billboard-hit-prediction |
14 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| :notes: Predicting Billboard's Year-End Hot 100 Songs using audio features from Spotify and lyrics from Musixmatch |
| ianscottknight/Musical-Genre-Classification-of-Song-Lyrics |
11 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
|
Python |
| 1996Wanglei/Papernotes |
10 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
|
| Papernotes about Music Information Retrieval |
| dipayandutta93/Music-Genre-Classification-using-lyrics |
8 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
Python |
| Train a classifier to predict the genre of a song based on its lyrics |
| prakashranjan/music-mood-classifier |
5 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
Python |
| music mood classifier based on lyrics and acoustics |
| workmanjack/lyric-mood-classification |
5 |
|
0 |
0 |
about 6 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| UC Berkeley Masters of Information & Data Science | W266 Natural Language Processing with Deep Learning Group Project | Team: Cyprian Gascoigne, Jack Workman, Yuchen Zhang |
