Abstract
AbstractWith the advancement of the web, a large amount of data is being generated by people on the web. A shorter yet logical and consistent version of such a large amount of text is very beneficial to easily draw significant conclusions. Summarization is a way to derive a coherent and fluent summary. Summarization can be categorized as Extractive summarization and Abstractive summarization. In this paper, we compare a few Extractive and Abstractive methods of summarization on WikiHow-Dataset. The experiment results show superiority of abstractive summarization methods was observed over the extractive summarization methods when the average precision score was compared. Though pre-trained transformer technology was applied for abstractive summaries, even then, basic extractive summarization techniques performed well. This Analysis helps the researchers to understand the summarization process and performance comparison of the summarization techniques.KeywordsAbstractive summarizationExtractive summarizationText summarizationWikiHow-dataset
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