SMART INFORMATION RETRIEVAL - QUESTION ANSWERING AND SUMMARY GENERATION USING BERT
Author(s):
Bhavesh Satpute, Bhushan Sawant, Sushant Yelurkar, Omkar Dighe, Rashmi Jolhe
Keywords:
Fast information retrieval, Relevant Information, Real-time data, Chrome Extension, Current webpage, PDF, Search on a user query.
Abstract
Over the years, we are studying web pages, technical papers, research papers, etc. The traditional method of retrieving a piece of information from a large collection of data or information was manual searching and it was taking huge time. But in today’s fast world, we used this information retrieval concept to find data in seconds. So, it becomes a fast and less time-consuming method for retrieving information. Even though its retrieving speed has increased but the quality of information is less. So, to overcome this we introduced Smart Information Retrieval where the user will get the relevant information on the basis of the user query, and also the user will get the summary on the basis of the Abstract, we classify this abstract in labels like Background, Methodology, Objective, Result, Conclusion. The accuracy of the predicted answer based on the user query is more the 70% and the relevancy of the generating summary or classifying the Abstract is 87%. This ability to predict answers and generate a summary or classify the Abstract from the given input makes this information retrieval system different from others.
Article Details
Unique Paper ID: 159526

Publication Volume & Issue: Volume 9, Issue 12

Page(s): 154 - 160
Article Preview & Download


Share This Article

Join our RMS



Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Latest Publication

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers