Text Summarization.

Text Summarization automatically shortens a set of data computationally, to create a subset that represents the most important or relevant information within the original content. Text summarization finds the most informative sentences in a document. It creates a short, accurate, and fluent summary of any text document.


How to Run the Demo.

  • Step 1 : Download the sample test data - demo_text_summarization_test_data.txt
  • Step 2 : Browse the downloaded file in your system and use either option 1 (paste the entire text) or use option 2 (paste the url link).
  • Step 3 : Click on “Summarize”and view the results.

The need for Text Summarization.

Automatic text summarization is greatly needed to address the ever-growing amount of text data available online to both better help discover relevant information and to consume relevant information faster. Automatic summarization improves the effectiveness of indexing when researching documents, making the selection process easier and less time consuming.

Applications of Text Summarization .