GRENZE International Journal of Engineering and Technology
Vol. 11
(2025), Issue 2
Regional Language Text based Enhancement of Summarization Factuality using Machine Learning
Authors
Apurva D. Dhawale, Sonali B. Kulkarni
Abstract
The Text summarization of any lengthy text is opportune need for everyone now a days. It gives us fine, substantive short summary out of the large text and saves time of an individual. So, it is a trending technique for practical usage by people in each area and sector. There are 2 categories of text summarization: 1. Abstractive and 2. Extractive. This study focuses on Extractive text summarization using unsupervised TextRank algorithm approach. Here, we are concentrating on the regional language of Maharashtra i.e. Marathi as it proves to be the unnoticed one while studying text summarization techniques in several domains.
Pages:
195 - 201