Authors:Â Nitesh Pandey, Nidhi Singh
Abstract:Â A method is proposed for automatic text summarization by extractive method which further goes with the utilization of sentence embedding where we bring together the relatable Text together and creates sentence and further use k-mean clustering to find out the relatable words we need accordance with our centroid where summary size also comes as a factor, Text which are embedded together contains similar information but most appropriate one which comes under text selection as we select the suited one to be added in summary, ridge regression pushes the estimated coefficient towards zero so that most relevant words would be added to the sentences; therefore the relevancy of different embedded Text which is turned to sentences now can be checked by ROGUE-2 score which contain dataset of DUC-2001 and can also be checked while having a summary of different length as an outcome, this also shows the effectiveness of the approach we used.
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