python developer

Two neural networks are to be considered ->to extract the syntactic structure of the sentence using Stanford parser (neural network 1) ->to classify the words from upahar to arthawad(neural network 2) ->The neural network should be combined without using weighted factor to summarize the words Word summarization ->We consider fuzzy logic to summarize the [login to view URL] the sentences are classified on Karaka classification (K! to K7) (refer attachment 2) The summarized sentences are obtained Implementation : First obtain the extractive summary using the features mentioned in (4.1) Then using the details in 4.3 obtain the abstractive summary from the extractive summary ([login to view URL] sentence fusion)