By combining machine learning-based text classification and sentiment analysis, we can create a robust AI-powered email triage system. Here’s a step-by-step guide.

InfoWorld is a source of news, analysis, and commentary on technology trends, IT strategies, and business innovation. With a focus on enterprise technology and digital transformation, InfoWorld offers insights and guidance for IT decision-makers, software developers, and technology professionals. From  articles on cloud computing and cybersecurity to product reviews and industry trends, InfoWorld helps readers navigate the complexities of modern IT environments and make informed decisions to drive business success.

InfoWorld

AI-powered email classification integrates machine learning and sentiment analysis to automate help desk triage, enhancing response times and customer satisfaction. This method categorizes emails by type and urgency, utilizing models like Multinomial Naive Bayes for text classification and SentimentIntensityAnalyzer to evaluate emotional tone. The approach enables efficient prioritization of issues, like identifying critical defects, ultimately improving customer service operations.

Using AI-powered email classification to accelerate help desk responses