The book "A Mixed Approach for Gist Generation of Hindi News Article" offers a comprehensive analysis and methodology for the automatic summarization of Hindi news articles. It highlights the importance of text summaries, which enable readers to quickly grasp the main themes of the articles. By identifying thematic sentences and applying various surface features, a ranking of the sentences is created to generate a concise and informative summary. The work relies on various evaluation techniques to compare the quality of machine-generated summaries with human summaries. This scholarly work is aimed at professionals and students engaged in natural language processing and automatic text summarization.