A Comprehensive Review on Gujarati-Text Summarization Through Different Features

This comprehensive review delves into the intricacies of Gujarati-text summarization, exploring diverse features employed in the process. With a focus on the nuances of the Gujarati language, the paper investigates various techniques and methodologies applied to extract essential information from textual content. The review systematically examines the effectiveness of distinct features such as linguistic, semantic, and syntactic elements in the context of Gujarati summarization. Additionally, the study provides insights into the challenges specific to Gujarati-language summarization and discusses advancements in natural language processing and machine learning that contribute to the refinement of summarization models. This thorough examination serves as a valuable resource for researchers, practitioners, and enthusiasts seeking a deeper understanding of the complexities and advancements in Gujarati-text summarization.