3 The IRER-EA Model Assuming a set of T emotions, L = {l 1 , l 2 , ...l T }, and a set of ed with a list of its relevant emotions R i ⊆ L ranked by their intensities and also a list of irrelevant emotions Relevant emotions and their rankings can be obtained simultaneously according to the scores assigned by the learned ranking function g. The learning objective of relevant emotion ranking (RER) is to both discriminate relevant emotions from irrelevant ones and to rank relevant emotions according to their intensities.
to fulfil the requirements of RER, the global ob-jective function is defined as follows: Here, l s ∈≺ (l t ) represents that emotion l s is less relevant than emotion l t .