Text Analytics and Natural Language Processing for Business Insights: A Comprehensive Review

In today's fast-paced business era, data reigns supreme. From emails and social media to reviews and articles, we've amassed a treasure trove of textual information that unveils customer sentiments, market trends, and brand perceptions. However, the real challenge lies in extracting valuab...

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Bibliographic Details
Published in:International journal for research in applied science and engineering technology 2023-09, Vol.11 (9), p.1626-1651
Main Author: Sinjanka, Yusupha
Format: Article
Language:English
Online Access:Get full text
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Summary:In today's fast-paced business era, data reigns supreme. From emails and social media to reviews and articles, we've amassed a treasure trove of textual information that unveils customer sentiments, market trends, and brand perceptions. However, the real challenge lies in extracting valuable insights from this textual abundance. With that, we present an intensive and thorough review of the existing methods of over the past six years, from 2018 to 2023. We found two game-changers: text analytics, the detective of text patterns, and Natural Language Processing (NLP), the language expert for computers. Together, they bring order to the chaotic world of words. Our review explores the quick development of NLP and offers suggestions for problems. Businesses can make educated decisions, outperform rivals, and make data their greatest asset with the help of these cutting-edge solutions. In order to ensure they find gold in the sea of text data, our study serves as the compass that directs them on this revolutionary journey.
ISSN:2321-9653
2321-9653
DOI:10.22214/ijraset.2023.55893