Text-classification-using-LDA-and-GCN
Constructed a structured heterogeneous text corpus graph to transform text classification problem into a node classification problem. Created semantic rich features by using Text GCN and topic modeling based approach-LDA which are then fed into a deep classification model employing skip connections.
