Can I read Abstractive Text Summarization Using Machine Learning on EtoBox?

Abstractive Text Summarization Using Machine Learning by Aditya Dingare; Doina Bein; Wolfgang Bein; Abhishek Verma is a book available to read on EtoBox.

What is Abstractive Text Summarization Using Machine Learning about?

Text summarization creates a brief and succinct summary of the original text. The summarized text highlights the main text's most interesting points without omitting crucial details. There is a plethora of applications on the market that include news summaries, such as Inshort and Blinklist which not only save time but also effort. The method of manually summarizing a text can be timeconsuming. Fortunately, using algorithms, the mechanism can be automated. We apply three text summarization algorithms on the Amazon Product Review dataset from Kaggle: extractive text summarization using NLTK, extractive text summarization using TextRank, and abstractive text summarization using Seq-to-Seq. We present the advantages and disadvantages for these three methods.

Author

Aditya Dingare; Doina Bein; Wolfgang Bein; Abhishek Verma

Publisher

Springer International Publishing : Imprint: Springer

Published

2022

Language

EN

ISBN

9783030976514

Subjects

Science, Computer Science, Management