Natural Language Query System for Excel Data

Authors- Dinesh Kumar G, Ajith T, Gokulnath G, Jainul Abedeen A

Abstract-In today’s data-centric environment, accessing and analyzing information efficiently is crucial for effective decision-making. However, traditional spreadsheet tools like Microsoft Excel often require users to possess technical skills in formulas, functions, and data manipulation techniques. This paper proposes a Natural Language Query (NLQ) System for Excel Data that enables users to interact with spreadsheet data using plain English queries. The system leverages Natural Language Processing (NLP) techniques to interpret user queries, identify relevant data elements, and convert them into structured operations executable on Excel files. By bridging the gap between natural language and spreadsheet functionalities, this system empowers non-technical users to perform data filtering, aggregation, and analysis without prior programming or Excel formula knowledge. The proposed system enhances data accessibility, reduces dependency on technical expertise, and promotes user-friendly interaction with tabular data.

DOI: /10.61463/ijset.vol.13.issue2.261