Paper Key : IRJ************675
Author: Chakradhar Reddy
Date Published: 17 Apr 2024
Abstract
This project delves into the intricacies of data collection and synthesis, with the primary objective of devising a robust framework for effectively summarizing the extensive knowledge accessible on the Internet. Given the overwhelming nature of the current information landscape, where individuals often struggle to promptly extract pertinent details due to the sheer volume of available data, there is a pressing need for innovative solutions to facilitate efficient information retrieval and assimilation. To address this challenge, the proposed framework harnesses both morphological content and semantic information to sift through and distill relevant data from diverse online sources. Central to this framework is the concept of summary summarization, which entails the identification and condensation of key insights and information from a given dataset into a more concise format, without compromising the original content's essence and purpose. This approach proves invaluable in navigating the complexities of big data, streamlining the information extraction process, and enabling more effective and insightful data analysis