ASAR Automatic PPT Generation Using Machine Learning

Authors(3) :-Shivam Kumar Singh, Rahul Sharma, Prof S. V. Shinde

In most of the areas for sharing information, slide presentation plays an important role. The slides for the presentation are traditionally prepared using various tools. The traditional way of presenting slides is labor-intensive. Labor-intensive nature leaves scope for human-errors. In this paper, Research observation is enforcing the automated PPT creation from multi-documents of different extensions based on input query or title that formulate extraction of valuable information source and model a presentation view to automating slide creation using integer linear programming (ILP) method to generate well-structured slides by selecting and aligning key phrases and sentences. This will eventually help in reducing a great amount of the presenter's time and efforts. The proposed system works on natural language processing (NLP) rules to classify data for the desired slides. Preparing slides manually consume more time. The drawbacks of the traditional way lead to the need for an intelligent system. The intelligent system needs to be capable of generating slides with minimum human interference. The existing automatic tools fail to fetch the graphical elements from a given input. Hence the paper proposed an Automatic Slide Generation System. The proposed system fetches the graphical elements as well as text from a document. The proposed system is more reliable than the existing system.

Authors and Affiliations

Shivam Kumar Singh
BE, Department of Computer Engineering, AISSMS College of Engineering, Pune, Maharashtra, India
Rahul Sharma
BE, Department of Computer Engineering, AISSMS College of Engineering, Pune, Maharashtra, India
Prof S. V. Shinde
Assistant Professor, Department of Computer Engineering, AISSMS College of Engineering, Pune, Maharashtra, India

Classification, NLP, Support Vector Regression (SVR), ILP, Slide Generation, Modules

  1. R. Jha, A. Abu-Jbara, and D. Radev, "A system for summarizing scientific topics starting from keywords", ACM Compute. Surv, vol. 40, no. 3, p. 8, 2013.
  2. Abu-Jbara and D. Radev, "Coherent citation-based summarization of scientific papers", in Proc. 49th Annu. Meeting Assoc.Comput. Linguistics: Human Lang. Technol.-Volume 1, 2011, pp. 500509.
  3. M. Sravanthi, C. R. Chowdary, and P. S. Kumar, "SlidesGen: Automatic generation of presentation slides for a technical paper using summarization", in Proc. 22nd Int. Flairs Conf.,2009, pp. 284289.
  4. M.Y. Kan, "SlideSeer: A digital library of aligned document and presentation pairs, in Proc.7th ACM/IEEE-cs Joint Conf. Digit. Libraries", Jun. 2006, pp. 8190.
  5. M. Utiyama and K. Hasida, "Automatic slide presentation from semantically annotated documents", in Proc. ACL Workshop Conf.Its Appl., 1999, pp. 2530.
  6. Yue Hu and Xiaojun Wan, PPSGen, "Learning-Based Presentation Slides Generation for Academic Papers", IEEE Transactions on knowledge and data engineering, vol. 27, no. 4, April 2015.
  7. Ektaa Meshram, D. A. Phalke, "Technique for Generating Automatic Slides on the basis of Paper Structure Analysis", in IJIRSET, Vol. 5, Issue 6, June 2016
  8. MTech Scholar S. V Shinde, Prof. S.Z. Gawali, "Identification of keywords and phrases in text Document and sensing a word for document retrieval and ranking: First Review", in IJAIEM Volume 3, Issue 5, May 2014, ISSN 2319 4847.

Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 54-58
Manuscript Number : CSEIT1833708
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Shivam Kumar Singh, Rahul Sharma, Prof S. V. Shinde, "ASAR Automatic PPT Generation Using Machine Learning", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.54-58, May-June-2018.
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