Research Paper Summarization Using Extractive Approach

In today's data-driven world, where data is another asset for people, a massive amount of data is generated every day from various sources. People generate relevant and irrelevant information as well. In this situation, we'll be discussing research papers. Text summarization is a technique that gives us a brief outline of the information consisting of important facts in the document. In this paper, we have talked about techniques associated with structure extraction of research papers on the basis of font size and font style, along with that we have used extractive text summarization which includes technologies such as term frequency–inverse document frequency (TF-IDF) algorithm, Page Rank algorithm, sentiment analysis, and another technique which includes sentence scoring on basis of key phrases for generating a score for sentences combined with the ranking of sentences to generate better section-wise summary for the multiple documents provided.