AI-driven Sentiment Analysis: Hacking Emotions to Boost Customer Service | Hacker Noon

and compare it to hospitals’ accreditation. Researchers used machine learning sentiment analysis algorithms to examine 1,852 Facebook posts and retrieve opinions across five dimensions: hospital’s staff empathy, assurance, responsiveness, reliability, and tangible . The results unveiled a pleasant picture yet showed room for improvement.With the help of AI-powered sentiment analysis, banks can get ideas on improving customer acquisition and better serving existing customers.

Given this information, the bank ensured its branches have more functioning tellers during peak hours. Thanks to its timely efforts, the bank witnessed a reduction in customer attrition and even welcomed new customers.Ready to incorporate AI-powered sentiment analysis into your business? Our machine learning expert,Cloud vendors offer tools that they built and trained on datasets of their choice.

As you can see, there are many benefits to using custom AI-powered sentiment analysis. You can build a unique and tailored system to satisfy your complex inquiries and give you a competitive edge over businesses that use standard cloud-based solutions. A custom tool with on-premise processing will offer better data protection and allow you to update the system whenever needed. It will require a higher initial investment, but you will spend less along the way, balancing your expenses and profit.

Source: Tech Daily Report (techdailyreport.net)

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