Use AI for voice-of-customer sentiment and topic analysis, journey-friction diagnosis and customer segmentation for personalization
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Shared topic: Customer analytics and personalization
O.P. Jindal Global University
Marketing text-mining curriculum applies sentiment, topic modeling, NLP, named-entity recognition, classification, topic clustering and predictive analysis to customer reviews, social posts, feedback and news. Named uses include…
12 modules and 36 assignments. Coursera estimates two weeks at ten hours per week. The public outline does not establish coding or learner-built modelsCheck current priceAsk about teaching language
Five-day broad AI-marketing certificate: (1) AI marketing foundations, target/trend/sentiment research, profiling/journey/segmentation, prompt and strategy, (2) AI SEO keyword clusters/on-page analysis, funnels, lead magnets, social…
Shared topic: Customer analytics and personalization
Massimiliano Sorrentino
Create AI text, images, voice and music, adapt customer journeys with behavioral prompts and use sentiment analysis and generated content for community and campaign work
6 sections • 21 lectures • 3h 1m total lengthCheck current priceEnglish
