SURVEY OF AUTOMATED TEXT DOCUMENT SUMMARIZATION TOOLS: APPROACHES AND TRENDS

Аннотация

This survey presents an extensive exploration of automated text document summarization tools, focusing on the diverse approaches and emerging trends in this field. With the proliferation of digital information, the need to extract key insights from large volumes of textual content has become increasingly vital. This study surveys various methods employed in automated summarization, including extractive and abstractive techniques, along with their strengths, limitations, and real-world applications. By analyzing the evolution of these tools, the survey highlights the current trends, challenges, and future directions in automated text document summarization. KEYWORDS Automated text summarization, document summarization tools, extractive summarization, abstractive summarization, natural language processing, information extraction, text mining, machine learning, trends, challenges.