Mining affective text to improve social media item recommendation
We propose a sentiment-aware social media recommendation framework. An ensemble learning-based method is proposed to classify sentiments from affective texts. We conduct comprehensive experiments to verify the effectiveness of the proposed methods.
social media recommender system sentiment classification occf