The invention is suitable for the technical field of computers, provides an
emotion classification method and
system. The
emotion classification method includes: performing
recursion upward from a leaf node layer-by-layer in a
phrase binary tree, and calculating a vector of each node, wherein the vector of each node is a
phrase level-based vector; determining an emotion
label of each node by calculating the similarity between a reference word and the vector, wherein the reference word is an emotion word with strong positive / negative, and the emotion
label is an emotion tendency value; performing
recursion downward from a root node layer-by-layer, and calculating a feedback vector of each node, wherein the feedback vector of each node is
phrase level-based vector; and performing
emotion classification through a classifier function according to the vector, the feedback vector and the emotion
label of each node. The phrase
binary tree is constructed, phrase level operation is performed, the emotion label of each node is acquired, and then classification is performed according to the vector, the feedback vector and the emotion label of each vector, full text information can be captured through two-way communication, and the accuracy of classification can be improved.