Explore the complexities of marketing data with the Text Marketing Analytics course. Delve into advanced advertising and marketing analytics, focusing on text classification, topic modeling, and semantic network analysis. Learn to apply these methods using Python to extract qualitative insights from large unstructured datasets.
With a focus on practical application, this specialized course equips you with the skills to understand and use topic modeling on unstructured text datasets and perform network analysis to create network graphs and extract valuable marketing insights.
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Supervised and unsupervised text classification techniques for marketing analytics are covered, along with network analysis applications. Gain practical skills in applying these methods to marketing use cases.
Explore the fundamentals of supervised text classification and its application to marketing data. Understand the related terminology and learn to train, evaluate, and improve the performance of text classification models. Apply these skills to popular marketing use cases to gain practical experience.
Delve into the concept of unsupervised text classification, focusing on topic modeling for marketing data. Through practical projects and assignments, learn to apply, evaluate, and improve the performance of topic models. Gain valuable insights into popular marketing use cases and enhance your skills in this area.
Discover the concept of network analysis and its relevance to marketing data. Learn to visualize networks based on centrality and other statistics, and extract meaningful marketing insights. Engage in practical projects to apply and enhance your skills in network analysis for marketing analytics.
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