adison1994 / Music-Mood-Analyzer Public

Notifications You must be signed in to change notification settings
Fork 0
Star 1

A Flask based application with TF-IDF model pickled and deployed on Heroku mainly used to display moods of top songs trending in the United States.

1 star 0 forks Branches Tags Activity

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
code		code
data		data
deliverables		deliverables
.gitattributes		.gitattributes
.gitignore		.gitignore
README.md		README.md
_config.yml		_config.yml

Repository files navigation

Music-Mood

Heroku Link: https://music-mood-analyzer.herokuapp.com/

Screenshot

Usage

Install requirements

pip install -r requirements.txt

Run Server

python app.py

Classifier Information - V1

Model : Support Vector Machine
- Training F1 : 0.997
- Validation F1 : 0.712
Method : TFIDF - Vectorizer
- Stopwords : English
- N-Gram Range : (1,5)

Codelabs

https://codelabs-preview.appspot.com/?file_id=1GLGXp5jniPDrvBAQd1ffC1ApWlR60HM7WkQWlVrU6w8#0

Built With

Jupyter Notebook - Code editor used for python.
IBM Watson Tone Analyzer-API used for analyzing mood of the songs.
Musixmatch Developer- API used to fetch lyrics for the songs in top charts.
Heroku :Cloud Application Platform used to host the website.
Flask :Microframework in python used to deploy the front end

About

A Flask based application with TF-IDF model pickled and deployed on Heroku mainly used to display moods of top songs trending in the United States.

heroku flask-application classification ibm-watson tfidf-vectorizer

Report repository

Releases

No releases published

Packages

No packages published

Languages