2022
DOI: 10.3390/app12189207
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Natural Language Processing and Artificial Intelligence for Enterprise Management in the Era of Industry 4.0

Abstract: Introduction: The advances in the digital era have necessitated the adoption of communication as the main channel for modern business. In the past, business negotiations, profiling, seminars, shopping, and agreements were in-person but today everything is almost digitalized. Objectives: The study aims to examine how the Internet of things (IoTs) connects text-object as part of NLP and AI responding to human needs. Also, how precipitated changes in the business environment and modern applications such as NLP an… Show more

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Cited by 21 publications
(12 citation statements)
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References 41 publications
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“…NLP-bridges the gap between humans and computers by improving communication through a better comprehension, processing, and generation for language produced. Modern settings rely heavily on AI-driven translation and other language-centric technologies [7]. Tokenization, part-of-speech (POS) tagging, Named Entity Recognition (NER), syntax analysis, and sentiment analysis are examples of many methods that fall under the umbrella term "natural language processing".…”
Section: Fundamentals Of Ai In Language Translationmentioning
confidence: 99%
“…NLP-bridges the gap between humans and computers by improving communication through a better comprehension, processing, and generation for language produced. Modern settings rely heavily on AI-driven translation and other language-centric technologies [7]. Tokenization, part-of-speech (POS) tagging, Named Entity Recognition (NER), syntax analysis, and sentiment analysis are examples of many methods that fall under the umbrella term "natural language processing".…”
Section: Fundamentals Of Ai In Language Translationmentioning
confidence: 99%
“…These technologies are crucial in comprehending customers' needs and ensuring high levels of customer satisfaction. As a result, the adoption of NLP and AI techniques has become imperative in order to accomplish business objectives effectively (Mah et al 2022). The AI has set foot in the educational settings as well and its signi cance is emphasized (Nazaretsky et al 2022).…”
Section: Review Of Related Literaturementioning
confidence: 99%
“…Patient Interaction, Clinical Documentation [110] Voice Commands, In-Car Assistance [111] Chatbots, Customer Service [112] Sentiment Analysis, Automated Customer Support [113] Predictive Analytics Disease Prediction, Treatment Personalization [114] Predictive Maintenance, Design Optimization [115] Sales Forecasting, Stock Optimization [116] Risk Assessment, Algorithmic Trading [117] Robotics Surgical Assistance, Patient Care Robotics [118] Manufacturing Automation, Quality Control [119] Warehouse Automation, In-Store Robotics [120] Process Automation, Compliance Monitoring [121]…”
Section: Applications Of Aicasmentioning
confidence: 99%