2017
Inferring emotions from heterogeneous social media data: A Cross-media Auto-Encoder solution
ICASSP 2017accepted
Social media is rocking the world in recent year, which makes modeling social media contents important. However, the heterogeneity of social media data is the main constraint. This paper focuses on inferring emotions from large-scale social media data. Tweets on social media platform, always contain…