Machine learning with unbalanced data usually leads to generation of a wrong classifier.
<m p>The music is incredibly powerful sound!</> Positive (p) about the aspect "Music (m)" <s n>It lacks a feeling of accomplishment after finishing.</> Negative (n) about the aspect "Satisfaction (s)" <g,s p,p>Since the graphics was beautiful, we got the satisfaction from just watching them.</> Combined tags are acceptable: Positive (p) about the aspects "Graphics (g)" and "Satisfaction (s)" The vector value of a word is computed as follows: where num ij and sent(asp i ) denote the frequency of a word w j in an aspect asp i and the number of sentences belonging to an aspect asp i , respectively.