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Automatic Text Summarizer Using Python

Abhay Parashar
The Startup
Published in
4 min readOct 7, 2020

Your own Personal Text Summarizer Using Extractive Approach🤖

Text summarization is the process of converting a longer document into a shorter version of it while retaining the core information of it. It is done by using computers and different algorithms, we called them automatic text summarizes. The process can be seen as compression of text without any loss to its core message.

Why summarize Texts?

There are many valid reasons for the need for summarizing text.

  1. Reduce Reading Time
  2. Improves Productivity
  3. Works Instantly
  4. Does not miss important facts
  5. Makes the Text investigation, outlines easy

Besides a summary, it enables users to identify the basic content of the paragraph or article quickly and accurately.

Approaches for Text Summarization

In general, summarization algorithms are either extractive or abstractive based on the summary they generate.

Extractive algorithms involve selecting phrases and sentences from the original text and including them in the final summary. It uses a weighted sentence and sentence score method to select the best phrases and…

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The Startup
The Startup

Published in The Startup

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Abhay Parashar
Abhay Parashar

Written by Abhay Parashar

Guarding Systems by Day 👨‍💻, Crafting Stories by Night ✍🏼, Weaving Code by Starlight 🤖

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