Natural Language Processing for Customer Service Integration in Retail and Insurance
Keywords:
Natural Language Processing, NLP, customer serviceAbstract
NLP changed consumer service in retail and insurance. This paper shows how NLP might improve customer interactions, accelerate assistance, and change responses across industries, hence raising customer pleasure. NLP enables robots to produce human language, read, comprehend, and even learn. Growing demand calls for quick, effective communication techniques used in customer service. Shopping may be made easier via automation of frequent searches, product suggestions, and advanced sentiment analysis to track client happiness. NLP may help one understand complicated client data, thus automating regular searches, accelerating claims processing, and improving insurance risk assessments.
Customer interaction Among the NLP approaches are machine translation, sentiment analysis, named entity recognition, and classification. Every technique improves client service in distinct ways. Text classification may send client requests to either computers or people. Sentiment research clarifies consumer opinions for more tailored reactions by companies.
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