Document summarisation using recurrent neural network

Automatic summarisation refers to summarising a document using software and it helps to reduce large text documents to a short set of words or a paragraph that delivers the main meaning of the full text. The extracted features from the documents are used for the automatic summarisation process and remain a successfully proven approach but it leads to drawbacks with respect to structure, redundancy, coherence. Existing methods for single document summarisation usually make use of only the first sentence or fixed number of words from the beginning it is contained in the specified document. The proposed system mainly aims at generating a summary of at least a minimum length unlike the existing system that generates empty summary if it could not find the keyword present in the input document which meets the attention weight beyond a threshold.