Natural language processing for business analytics

Khan Ali Marwani Dallo

doi:10.54254/2977-3903/3/2023038

Research Article

Open access

Published on 23 October 2023

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Dallo,K.A.M. (2023). Natural language processing for business analytics. Advances in Engineering Innovation,3,37-40.

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Natural language processing for business analytics

Khan Ali Marwani Dallo *^,1,

¹ University of Florida

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2977-3903/3/2023038

Abstract

Natural Language Processing (NLP), a branch of artificial intelligence, is gaining traction as a potent tool for business analytics. With the proliferation of unstructured textual data, businesses are actively seeking methodologies to distill valuable insights from vast textual repositories. The introduction of NLP in the realm of business analytics offers a transformative approach, automating traditional manual processes and fostering real-time, data-driven decision-making. From sentiment analysis to text summarization, NLP is facilitating businesses in deciphering consumer feedback, predicting market trends, and breaking down linguistic barriers in the age of globalization. This paper sheds light on the evolution of NLP techniques in business analytics, their applications, and the inherent challenges and opportunities they present.

Keywords

natural language processing, business analytics, textual data, sentiment analysis, data-driven decision making

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Cite this article

Dallo,K.A.M. (2023). Natural language processing for business analytics. Advances in Engineering Innovation,3,37-40.

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About volume

Journal：Advances in Engineering Innovation

Volume number: Vol.3

ISSN：2977-3903(Print) / 2977-3911(Online)

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