Natural Language Processing Across Industries
Natural Language Processing (NLP) nowadays is integrated into various technologies and industries that enable machines to understand, interpret, and generate human language. This article will discuss the impact of NLP on different sectors, including efficiency, customer satisfaction, and innovation.
What is NLP?
Natural language processing (NLP) is a branch of artificial intelligence and refers to the ability of a computer program to understand human language. Whether the language is spoken or written, natural language processing uses artificial intelligence to take input, process it, and convert it in a way a computer can understand.
NLP in the Health Care Sector
Natural Language Processing (NLP) is important in the healthcare industry to evaluate unstructured patient medical records. By reading and comprehending these documents, NLP may detect the patient’s problems and recommend relevant remedies or medicine prescriptions.
Additionally, NLP aids in discovering missing information or inaccuracies in patient files, allowing hospitals and clinicians to provide more accurate treatment. For example, NLP may follow patients’ progress by evaluating test results before and after therapy, showing if their health has improved or not.
NLP in the E-commerce Sector
Natural language processing (NLP) has become essential in e-commerce, especially with the rise of chatbots and virtual assistants on websites. These technologies help customers by responding quickly to their requests and issues. NLP helps detect fraud by studying user behavior patterns, which increases the protection of online transactions.
Furthermore, NLP provides personalized purchasing assistance by assessing a customer’s past purchases and giving tailored recommendations, resulting in a more convenient shopping experience.
NLP in Human Resources
The NLP role in recruitment extends beyond initial resume screening. After analyzing the CVs, the NLP facilitates the recruiting process for candidates.
NLP-powered systems can assist in parsing unstructured data from cover letters or candidate emails, capturing additional insights into communication skills, and NLP can choose the recruiter that suits the job.
NLP in Finance
NLP is transforming finance by automating operations and improving security. Generative AI helps employees find the best financial plans, while helpful customer service helps users.
Automated data extraction helps with financial responsibilities, and enhanced fraud detection identifies suspicious transactions, ensuring financial security.
Conclusion
Natural Language Processing (NLP) is a field of computer science and linguistics that deals with the interaction between computers and human languages. It belongs to a lot of sectors, but we discussed in our article just a few of the many sectors that NLP is beneficial in.
References
- IBM. (n.d.). What is natural language processing (NLP)? Retrieved from https://www.ibm.com/topics/natural-language-processing
- GeeksforGeeks. (n.d.). Top 5 industries impacted by natural language processing (NLP) trends. Retrieved from https://www.geeksforgeeks.org/top-5-industries-impacted-by-natural-language-processing-nlp-trends/
- Ariwala, P. (2023, December 5). Top 14 use cases of natural language processing in healthcare. Maruti Tech. Retrieved from https://marutitech.com/use-cases-of-natural-language-processing-in-healthcare/
