/text-summarization

Together learn the basics of Machine Learning and build a Text_Summarization model from scratch!

Primary LanguageJupyter NotebookMIT LicenseMIT

Text-Summarization

Issues Pull Requests License Gitter

** Shorter text is always easier to read, isn't it!? **

An introductory course to ML where we'll together learn the Basics of Machine Learning, gain a solid foundation of the biologically-inspired programming paradigm 'Neural Networks' and utilize these to build a running Text_Summarization Model!

Mentors:

Soma Siddhartha @sedherthe
Ganesh Samarth @ganeshsamarth
Prateek Jain @prateekjain2606

Estimated Time in weeks:

12 weeks

Motivation:

  • To create a coherent and fluent summary having only the main points outlined in the document.
  • Biggest Incentive: Decrease in reading time!

Features:

  • Given a longer document the program should create a short, accurate and fluent summary from the doc.
  • The Summary should also be comprehensive, coherent, readable, useful and most importantly trustworthy!