Streamlined Slide Generation by Performing Extractive Text Summarization
Lalithamani Nithyanandham1, Aniruddha Madduri2, Sainadh Makineni3, Sanjay Bhargav Patibandla4, M. Srinandhini5
1Lalithamani Nithyanandham, Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore (Tamil Nadu), India.
2Aniruddha Madduri, Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India.
3Sainadh Makineni, Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore (Tamil Nadu), India.
4Sanjay Bhargav Patibandla, Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore (Tamil Nadu), India.
5M. Srinandhini, Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore (Tamil Nadu), India.
Manuscript received on 14 December 2018 | Revised Manuscript received on 26 December 2018 | Manuscript Published on 24 January 2019 | PP: 217-222 | Volume-7 Issue-4S2 December 2018 | Retrieval Number: Es2061017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Power Point Presentations have long been used by people to display information in an easy and eye-catching manner. Many organizations use the PowerPoint Presentations for discussing their projects with stakeholders, or for their project reviews. Many students use the Presentations to display their ideas of designs and how they implement it. This involves the user to analyse the content on which the presentation is to be made, shrink the content into smaller parts, and finally creating slides manually. There are many tools which are able to generate slides, and which automate the process of doing that. Generation of slides must involve some content, and this work aims to involve content given by the user varying from a normal text file to a web-page, and make available to the user the slides, based on the content. Our work involves automating the process by summarizing the entire text document given as an input, and generating PowerPoint slides using the aforementioned summary.
Keywords: Extractive Summary, Textmining, Text Ranking, Text Summarization.
Scope of the Article: Web and Text Mining