Phase 2 evaluation of text summarization final year project under professor U.A. Deshpande in collaboration with TCS presentation.
In phase 2 we studied how word embeddings are calculated to represent any arbitrary word in a fixed length numerical vector (CBOW and Skip-gram). Read about skip-thought architecture and GRU's.
Made a basic prototype of text summarization using k-means clustering which gives 60% to 75% of accuracy as compared with BBC news data set (example can be found in the slides).
Phase 1 presentation: https://speakerdeck.com/gautamabhishek46/text-summarization-phase-1-evaluation
Professor in-charge: U. A. Deshpande
TCS Mentor : Dr. Sagar Sunkle