Hi!

Very interesting project!

I saw the you can obtain the energetic/relaxed intensity here , by seeing this other medium article I saw that you used this paper to calculate the mood. However how did you obtained the "Strees" data in order to classify in Sad, Happy, Energetic, Calm?

Was it from a simple search on spotify with the label names? How did you labeled the mood in data_moods?

Hi,

Thank you for the exciting presentation of your project. I like what you have accomplished.

I have a vast collection of mp3 files, all with very detailed meta tags. The mood meta tag however is very messy. Nearly impossible to make a music selection with the many hundred mood definitions that are used.

I have always dreamed of finding a way to simplify the mood tags. You do just that by only using 8 moods. That is what I am looking for! The only thing is I don't know how to do this with the tools you have used.

What I would like to achieve is to use a local database with track information (artist info, track name, location on the hard drive, etc...) and use this database to feed the tools you have used. Then store the retrieved info (mood) into my database ,and if possible update the mp3 mood tag.

Do you think this would be feasible?