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- W4385196125 abstract "With the increase in the use of the internet over the globe, the exchange and storage of information have seen an exponential surge as well. While writing and reading, people prefer shorter versions of content to save time and derive only significant insights. This has promoted the use of summarization in the past few decades. Since human-generated summaries are resource and time-intensive, automatic text summarization was developed. Inspired by these problems and by observing the issue of time management among our peers in the research community, we have tried to form a system that converts a research paper into a presentation. This system takes the research paper as the input document, summarizes the content section-wise and adds it to slides which are combined into a presentation. The techniques used to summarize are Text Frequency Inverse Document Frequency (TF-IDF), Latent Semantic Analysis, and Text Rank Algorithm. The model is tested on four different papers and evaluated on their ROUGE scores to compute their utility." @default.
- W4385196125 created "2023-07-25" @default.
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- W4385196125 date "2023-01-01" @default.
- W4385196125 modified "2023-10-14" @default.
- W4385196125 title "Summarization of Research Paper into a Presentation" @default.
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- W4385196125 doi "https://doi.org/10.1007/978-981-99-3315-0_58" @default.
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