Automatic generation of presentation slides for academic papers

Generally to get the slides from begin, it takes plenty of your time. These slides contains information concerning base paper objective from abstract details of system i.e. introduction and to boot approach utilized, writing audit from connected work section, alpha results and conclusions from base paper. The generated slides will be used as rough plan for any preparation. This helps presenters in making ready their formal slides in quicker manner. Some rough structure for slide shows from papers capable to save lots of the author abundant time once organizing shows. during this paper we tend to investigate totally different perspective for educational papers slide generation. to put in writing the slides from scratch takes plenty of your time of presenter. they typically contain many sections like abstract, introduction, connected work, projected methodology, experiments and conclusions. to keep up individuation in making ready slides this concept is crucial and distinctive. every section from the tutorial paper is known and is aligned to 1 or a lot of slides. each bullet purpose are mapped with the slide heading purpose. Out of the many sentences below that within that heading sentences importance is calculated thus on keep those because it is within the slides. Keywords— Abstracting methods, Integer Linear Programming, Support Vector Regression model, text mining. I.INTRODUCTION Presentation slides are the one in every of necessary approach of learning. during this approach of learning get the response from the listeners they'll be students, staff or client etc. Presenters produce their go along victimization the code tools like Microsoft Powerpurpose, Open workplace etc.All these code presenters ought to sort the content into the slide then it will be long task. during this projected methodology automatic slides are generated consistent with the sections within the paper i.e, titles in tutorial paper and corresponding relevant sentences from identical paper. It helps users in obtaining a rough structure of the tutorial paper. It continually have the same structure. they typically contain many sections like abstract, introduction, connected work, projected methodology, experiments and conclusions. though presentation slides will be written in numerous ways in which by totally different presenters, a presenter, particularly for a beginner, continually aligns slides consecutive with the paper sections once making ready the slides. every section is aligned to 1 or a lot of slides and one slide sometimes contains a title and a number of other sentences. These sentences is also enclosed in some bullet points. Our methodology tries to get draft slides of the standard sort mentioned higher than and helps individuals to arrange their final slides. Automatic slides generation for educational. papers could be a terribly difficult task. Current strategies typically extract objects like sentences from the paper to construct the slides. In distinction to the short outline extracted by a summarization system, the slides are needed to be rather more structured and far longer. Slides will be divided into an ordered sequence of components. Each part addresses a particular topic and these topics also are relevant to every different. typically speaking, automatic slide generation is far harder than summarization. Slides sometimes not solely have text components however additionally graph components like figures and tables. however our work focuses on the text components solely. during this study, we tend to propose a novel system referred to as PPSGen to get well-structured presentation slides for educational papers. In our system, the importance of every sentence in a very paper is learned by victimization the Support Vector Regression (SVR) model, and so the presentation slides for the paper area unit generated by victimization the integer linear programming (ILP) model to pick out and align key phrases and sentences. The rest of this paper is organized as follows. connected work is introduced in section 2. we tend to describe our methodology well in section 3. we tend to show the experiment leads to section 4 and conclude our add section 5. II.RELATED WORK Automatic slides generation for tutorial papers remains way under-investigated today. Few studies directly analysis on the ISSN:2348-2079