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
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
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An original example for comparing learning plans. Ask whether the course teaches this task, includes practice and offers feedback; the diagram does not describe a provider’s course.
Four modules cover AI brand research and ethics, social listening, sentiment, audience clustering and brand-health measures, predictive engagement, personalization, marketing automation and A/B testing, and a Power BI/Google Data Studio…
Advanced, self-paced course. Coursera estimates one week at 10 hours per week. Four modules and 13 assignmentsCheck current priceEnglish
Three modules describe: identifying agent opportunities in campaign planning, social scheduling and A/B testing, prompting for brand-aligned content and sentiment tracking, and CRM integration/performance analytics. Listed course tasks…
Published estimated study commitment: 4 hours to complete. Flexible, self-paced schedule. Study estimates are distinct from total video runtimeCheck current priceEnglish
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