yading@1: {\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf210 yading@1: \cocoascreenfonts1{\fonttbl\f0\fswiss\fcharset0 Helvetica;} yadng@0: {\colortbl;\red255\green255\blue255;} yadng@0: \paperw11900\paperh16840\margl1440\margr1440\vieww10800\viewh8400\viewkind0 yadng@0: \pard\tx566\tx1133\tx1700\tx2267\tx2834\tx3401\tx3968\tx4535\tx5102\tx5669\tx6236\tx6803\pardirnatural yadng@0: yadng@0: \f0\fs24 \cf0 \ yading@1: This is the emotion dataset used for ISMIR 2012 paper "Evaluation of Musical Features for Emotion Classification"\ yadng@0: \ yadng@0: It contains 3 parts,\ yadng@0: 1. The top tags returned by last.fm (four emotion classes: happy, sad, angry, and relax)\ yadng@0: 2. A list of songs labelled with the retrieved from part 1\ yadng@0: 3. The fetched song titles that we used in this paper (due to the copyright, we didn't upload preview files)\ yading@1: 4. The audio files were fetched from Last.fm and 7Digital. Due to the copyright issue, this data set is only for research purpose. \ yading@1: \ yading@9: Please cite \'93Y. Song, S. Dixon, M. Pearce. Evaluation of musical features for emotion classification. In 13th International Society for Music Information Retrieval Conference (ISMIR), 2012.\'94\ yading@9: \ yading@1: Feel free to contact me if you have any questions. \ yadng@0: \ yadng@0: Queen Mary University of London\ yadng@0: Centre for Digital Music\ yadng@0: Yading Song\ yadng@0: yading.song@eecs.qmul.ac.uk}