Information Summarization System Based on Custom Query

Project Code :TCMAPY1137

Objective

The objective of this research is to develop an Information Summarization System that simplifies the extraction of essential information from text documents. This system will utilize a Transformer model to generate concise document summaries from Word documents. An important goal is to enhance document navigation, enabling users to quickly grasp the main concepts. Another key objective is to empower users with the capability to input custom queries, allowing them to tailor the summaries to their specific needs. Ultimately, the aim is to create an innovative and user-centric approach to information extraction, improving efficiency and usability in dealing with text documents.

Abstract

This research presents an Information Summarization System based on a custom query, aimed at simplifying the task of extracting essential information from text documents. The system operates by initially accepting a Word document as input, extracting its textual content, and subsequently employing a Transformer model for generating concise document summaries. These summaries effectively the document's crucial insights, thereby facilitating rapid comprehension of its primary concepts. One of the system's distinctive features is its ability to adapt to user preferences by accepting custom queries. Leveraging the Language Model, users can provide specific queries to refine and tailor the summary to their unique needs. This innovative approach not only enhances document navigation but also empowers users to extract relevant information efficiently. Overall, this system introduces a novel way of summarizing text documents, offering a versatile and user-centric approach to information extraction.

Keywords: Documents, Text Summarization, Transformer Model.

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