Author:
Zope Urvi,Thakur Gayatri,Karambelkar Siddhi,Mane Vanita
Abstract
The process of creating a condensed type of document that retains significant information and thus the general meaning of the source text is known as text summarization. Automatic summarization is a popular method for quickly locating significant information in vast texts with minimal effort. In today’s era information is the integral part of knowledge and it is too noisy and not in the precise manner for that both abstractive and extractive summarization techniques are used. The proposed model combines the summarization process for both text and image input type, which makes it easier for user to generate the precise summary regardless of the input type. The proposed model uses Textrank algorithm for the summarization process. Recall oriented understudy of gisting evaluation (ROUGH) score is used by the model to evaluate the accuracy of generated output. The model gives high ROUGH score which assures the accuracy of the generated summary.