TEXT SUMMARIZER

In this text summarizer 9 features are hand picked from text that includes

1.Number of thematic words 2.Sentence position 3.Sentence length 4.Sentence position relative to paragraph 5.Number of proper nouns 6.Number of numerals 7.Number of named entities 8.Term Frequency-Inverse Sentence Frequency 9.Sentence to Centroid similarity

Then to learn complex feature unsupervised learning algorithm is used RBM(restricted boltzman machine) and autoencoders

RBM

AUTOENCODER

Below are graph showing difference

autoencoder perfomance

rbm perfomance