An Automatic Multidocument Text Summarization Approach Based on Naïve Bayesian Classifier Using Timestamp Strategy

Algorithm 2

For selecting frequent document for processing.

For each document

  Begin

      Check the number of times the document is visited

      Select the top most frequent visited document for processing

      Calculate the Centroid value, First sentence overlap, Position value

      Add the three values to get the score

      Calculate the penalty and subtract it from the score

      Sort the sentence based on score and timestamp

  End

End for