This paper provides a comparative analysis of various graph based extraction methods for automatic text summarizations using ROUGE on review dataset. We consider five techniques that include TextRank, LexRank, LSA, Luhn, and Edmundson. These methods concentrate on predicting the semantics of an entity. The experimental results on summarizing the users’ opinions show that the LexRank method gives the best performance among all. Generated summaries are understandable and convey informative opinions.
No takes yet. Share an insight, caveat, or question.
Verma et al. (2016) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: