The analysis showed that the features that calculate the emotional load of fictional names based on SentiWordNet contribute to the classification task.
we believe that there is still room for improvement for the performance of this feature mainly towards the optimization of the selection threshold in order to reduce the degree of false positive matches as well as the addition of more lexical resources for example WordNet Affect or LIWC.