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Auto Synopsis: An Intelligent Web-Based Application for Automating Content Summarization Using Advanced NLP Techniques

1stDr. A. Karunamurthy,2nd R. Ramakrishnan,3rd J. Nivetha, 4thS. Varsha

1Associate Professor, Department of Computer Applications, Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry 605008, India

2Associate Professor, Department of Computer Applications, Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry 605008, India

3Post Graduate Student, Department of Computer Applications, Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry 605008, India

nivejanu1020@gmail.com

4Post Graduate Student, Department of Computer Applications, Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry 605008, India

varsha86681@gmail.com

*Corresponding author: nivejanu1020@gmail.com

ABSTRACT

Auto Synopsis introduces an efficient web-based application designed to automate text summarization using advanced natural language processing (NLP) techniques. Built with Flask, the system extracts and processes textual content, transforming it into concise, meaningful summaries. The text undergoes preprocessing steps, including tokenization, lemmatization, and stemming, to prepare it for analysis. Auto Synopsis supports both extractive and abstractive summarization. Extractive summarization selects and extracts important sentences or segments from the original text, while abstractive summarization generates new sentences that convey core ideas in a more natural, human-like form. For smaller documents, a sentence similarity approach using cosine distance ranks sentences based on relevance. For larger documents, the PageRank algorithm evaluates sentence importance to select the most significant content. Auto Synopsis features a secure user authentication system, allowing individuals to create accounts, log in, and access personalized summaries. Designed for students, researchers, and professionals, this tool aims to streamline the summarization process, helping users quickly extract essential information from lengthy text. By reducing reading time and enhancing productivity, Auto Synopsis provides an invaluable solution for efficiently processing large volumes of information, ensuring that users gain quick and meaningful insights from complex documents.

Keywords: Text Summarization, Automatic Summarization, Extractive Summarization, Abstractive Summarization, Natural Language Processing, Flask Web Application, PageRank Algorithm