Text Summarization

In NLP, Text Summarization is a technique for generating brief, accurate, and coherent summaries of voluminous texts.

There are two types of text summarization – Extractive Summarization and Abstractive Summarization. Extractive Summarization extracts important words or phrases from the text to create a summary. Abstractive Summarization is a technique that includes generating new words or phrases that captures the meaning of the text.

SHARE

Related Links

A CMO recently asked me a deceptively simple question: “If we gave an AI agent full…

I once watched a campaign manager juggle ten tools, fifteen stakeholders, and a spreadsheet that looked…

Scroll to Top