Feelings can be the consequent of multiple emotion categories at the same time with different intensities. In this project, we concentrated on mining emotion features capable of handling mixed emotions and relied on a simple yet effective appending-base method which takes the full advantage of mixed emotions features in word embedding. We have investigated the model by extensive experiments on various text datasets.