Marketing focus
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…
O.P. Jindal Global University · Coursera
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 segmentation, acquisition/retention, personalization, brand/competitor analysis and campaign optimization
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Related tasks, tools and formats. Check the differences before choosing.
Meta Brains , Skool of AI
Build a customer-review sentiment pipeline and ecommerce review analysis combining entity recognition/topic modeling, with probabilistic features/Naive Bayes and model deployment. Broader NLP foundations accompany the explicit…
Johns Hopkins University
Five modules apply classifiers and NLP to social-media text, sentiment analysis and topic modeling, page lists 12 assignments. Useful for social listening/audience analysis, campaign building is not the focus
University of Illinois Urbana-Champaign
Marketing analytics applies causal analysis and AI/ML predictive models to customer behavior, text/sentiment/topic/network analyses to user, firm and AI-generated content, and conjoint analysis to preference, examples address CLV, churn…