Summarizing Text From Learning Material Using Machine Learning

A learning material provider was finding it challenging to select suitable abstractive and extractive summarization algorithms. They were using strong computing power to run memory and CPU-intensive algorithms.

Their objective was twofold. First, to extract data from Wikipedia and clean it. Second, to print a summary based on word count and fine-tune algorithms.