Natural Language Processing and Artificial Intelligence for Enterprise Management in the Era of Industry 0

2022
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Figure 4. 
Natural language processing
 
for industrial use. 
NLP organizes unstructured data for businesses by analyzing its relevance, correla-
tion, and semantic meaning. NLP helps connect devices that allow and reorganize proper 
decision-making with the help of text, emails, SMS, audio, and video conferences using 
ERP network systems tailored to businesses. 
Subject extraction as a tool of NLP helps provide insights for effective content crea-
tion of products and services of a company to customers. The option of subject extraction 
helps provide exact content to potential customers and in return boost sales. NLP provides 
sentiment analysis determinant tools for businesses. The sentiment analysis determinant 
helps businesses to understand if one communication method receives different feedback 
than another. The sentiment analysis determinant in business is part of the KPI that helps 
to evaluate how well a product is doing [60]. Audience identification for targeted messag-
ing is an NLP tool used as part of ERP in nowadays business [61,62]. Companies use glean 
themes and keyword categories phrases to learn more about what clients are talking about 
their products, where the gaps in their products are, and how they can address and fix 
them. NLP replaces the manual processes of financial institutions by employing unstruc-
tured data in a more usable format [63]. For instance, NLP is automation that helps cap-
ture earnings calls, management presentations, and acquisition announcements. 
Four ways NLP applications advance business. 
The following points are some of the steps used by companies to enhance their activ-
ities. 
•
Lead capturing
. The use of chatbots to capture customers’ insight with the help of 
auto-responder. 
•