Keyphrase Extraction from Bengali Document using LSTM Recurrent Neural Network

Abstract

Abstract—Keyphrases are single or multiple word phrases of a document which portrays the principal points of that document. These keyphrases help readers to get an overview of the document. In this paper, we proposed a system that uses Long Short-Term Memory (LSTM) Recurrent Neural Network (RNN) to automatically detect keyphrases from a document. We also implemented Multilayer Perceptron (MLP) network to compare the performance of our proposed LSTM approach. We applied several pre-processing steps on a document to generate the candidate keyphrases. Finally, we found better performance from our proposed approach with compared to the MLP network. Keywords—Keyphrase, Keyphrase extraction, Keywords, LSTM, RNN, MLP, Multi Layer Perceptron, Neural Network

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