18583186. METHOD AND SYSTEM FOR EVALUATING NON-FICTION NARRATIVE TEXT DOCUMENTS simplified abstract (Tata Consultancy Services Limited)

METHOD AND SYSTEM FOR EVALUATING NON-FICTION NARRATIVE TEXT DOCUMENTS

Organization Name

Tata Consultancy Services Limited

Inventor(s)

Sachin Sharad Pawar of Pune (IN)

Girish Keshav Palshikar of Pune (IN)

Ankita Jain of Indore (IN)

Mahesh Prasad Singh of Noida (IN)

Mahesh Rangarajan of Bangalore (IN)

Aman Agarwal of Noida (IN)

Kumar Karan Singh of Noida (IN)

Hetal Jani of Gandhinagar (IN)

Vishal Kumar of Noida (IN)

METHOD AND SYSTEM FOR EVALUATING NON-FICTION NARRATIVE TEXT DOCUMENTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18583186 titled 'METHOD AND SYSTEM FOR EVALUATING NON-FICTION NARRATIVE TEXT DOCUMENTS

The patent application provides a method and system for evaluating non-fiction narrative text documents by processing a plurality of such documents and computing corpus statistics for evaluation purposes.

• The system processes non-fiction narrative text documents and computes corpus statistics.
• The corpus statistics are used to evaluate any non-fiction narrative text document, whether collected in real-time or not.

Potential Applications: This technology can be applied in the fields of natural language processing, linguistics research, content analysis, and information retrieval systems.

Problems Solved: This technology addresses the lack of sufficient data for evaluating non-fiction narrative text documents in linguistics research.

Benefits: The system provides a more comprehensive and data-driven approach to evaluating non-fiction narrative text documents, leading to more accurate analysis and insights.

Commercial Applications: This technology can be utilized by academic researchers, content creators, and information retrieval companies to improve the analysis and understanding of non-fiction narrative texts.

Prior Art: Researchers can explore existing literature in the fields of natural language processing, corpus linguistics, and text analysis for related prior art.

Frequently Updated Research: Stay updated on the latest advancements in natural language processing, corpus linguistics, and text analysis to enhance the evaluation of non-fiction narrative text documents.

Questions about the technology: 1. How does this technology improve the evaluation of non-fiction narrative text documents? 2. What are the potential implications of this technology in linguistics research and content analysis?

Original Abstract Submitted

Existing approaches for processing and evaluation of documents containing non-fiction narrative texts have the disadvantage that they are comparatively less studied in linguistics, and hence do not provide sufficient data required for evaluations. Method and system are for evaluating non-fiction narrative text documents are provided. The system processes a plurality of non-fiction narrative text documents and computes a plurality of corpus statistics. The plurality of corpus statistics is then used for evaluation of any non-fiction narrative text document that may or may not be collected as real-time input.