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.
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