This can potentially bias the training data and limit the classifier's ability to learn to recognize affective similes that do not contain words with a positive or negative connotation.
but because sentiment resources have limitations (e.g., sentiment classifiers are not perfect, sentiment lexicons do not possess knowledge of context), these instances will have some noise.