Natural Language Processing relevance to Online Business

Authors

  • Obeten Okoi Michael Lecturer III, Department of Computer Science, Auchi Polytechnic, Edo State, Nigeria Author

DOI:

https://doi.org/10.61925/SWB.2023.1305

Keywords:

Natural Language Processing, Automation, Fraudulent, Sentiment Analysis

Abstract

NLP is essential for internet companies. Its language processing capabilities allow sophisticated apps that are changing the internet world. NLP's main effects on internet business are summarized in this abstract:  NLP powers 24/7 customer care chatbots and virtual assistants that answer questions and process transactions. Sentiment research helps companies analyse client feedback and adjust services. NLP algorithms assess user behaviour and preferences to propose products and run marketing campaigns.  NLP generates website, social media, and marketing content automatically. NLP's capacity to discover keywords and optimize content for individual audiences revolutionizes SEO. Businesses may use NLP to evaluate customer evaluations and detect patterns for content strategy. NLP analyses massive volumes of social media, news, and competition data. This helps firms follow market trends, evaluate customer attitude toward their brand and rivals, and find new possibilities. Online transaction security and fraud detection depend on NLP. NLP systems can detect questionable emails, phony reviews, and cyber-attacks by analysing text patterns and user behaviour, reducing risks and assuring safe online transactions. NLP helps firms reach foreign customers and meet various demands by bridging language gaps. NLP-powered machine translation removes language barriers and opens new markets with real-time content localization.

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Published

2023-08-17

How to Cite

Obeten Okoi Michael. (2023). Natural Language Processing relevance to Online Business. SciWaveBulletin, 1(3), 37-42. https://doi.org/10.61925/SWB.2023.1305