Automatic text summarization for the Hindi language: Comprehensive study and analysis

Abstract

The term "text summarizing" refers to the process of compressing long passages of text. The goal is to create an understandable, fluid, and coherent summary, using only the main points discussed in the document. Automatic text summarization (ATS) is a common problem in machine learning and natural language processing.Since around 1958[1] the name automatic text summarization (ATS) has been widespread and an important area of ​​research. Hindi is the official language of India. Hindi literature is increasingly being used for various purposes. Hindi is used in many places including offices, schools, and colleges. To convert the available data into more comprehensive and relevant useful information, the automated text summarization technique (ATS) is essential due to the increasing number of texts available in Hindi. Hindi is widely spoken in India and several neighboring countries, but there is no standard way to summarize the language.The various features of ATS are presented in this study to give researchers a thorough overview, including background information, methodologies, applications, building blocks,and potential forecasting research ways.