A Gentle Introduction to Text Summarization in Machine Learning

Text summarization it is the technique for generating concise and precise summary of voluminous texts while focusing on the sections that convey useful information, and without losing the overall meaning. Since abstractive machine learning algorithms can generate new phrases and sentences that represent the most important information from the source text, they can assist in overcoming the grammatical inaccuracies of the extraction techniques. Therefore, Peter stayed with her at the hospital for 3 days without leaving

Next, let’s do text processing by removing the stop words (extremely common words with little meaning such as “and” and “the”), numbers, punctuation, and other special characters from the sentences.

Source: blog.floydhub.com