Our three-stage ETD-M pipeline features a multigraph keyphrase ranking (MGR) algorithm, followed by k-means clustering and keyphrase representation utilizing word embeddings, with a final stage of detecting the topics using an RNN for the final, temporally-sensitive inference of trending topics.
such results allow ETD-M to convey and rank longer, meaningful phrases such as "molecular beam epitaxy" and "metalorganic chemical vapor deposition" within that domain.