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A Semantic Machine Learning Approach to Automatic PPT Generation

Author(s):

Kajal Shamrao Thorat , K J college of engineering and management research pune ; Supriya Sunil Rawade, K J college of engineering and management research pune ; Krutika Ramchandra Phage, K J college of engineering and management research pune ; Rohini V Agawane, K J college of engineering and management research pune

Keywords:

NLP, Feature Extraction, Random Forest, PPT Generation

Abstract

In todays world as the size and complexities of the documents are increasing it becomes very difficult to extract the important points from the multiple documents in a given stipulated time. Natural language Processing (NLP) is playing a vital role in this, where it extracts the important feature from each of the sentences and they are framed together to yield best semantic data. This research article mainly concentrates on yielding the semantic presentation slides for the given input of multiple documents of type pdf, text and MSword. Some methodologies are existed to concentrate on yielding automatic PowerPoint presentation files based on the given input of documents. Most of the research technique do suffer from the matter of precision of the obtained slides. So this research article throws some light on automatic power point presentation generation technique by extracting some NLP features and then by using Random forest technique model provides accurate desired slides.

Other Details

Paper ID: IJSRDV7I30603
Published in: Volume : 7, Issue : 3
Publication Date: 01/06/2019
Page(s): 1626-1630

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