How to Use Dynamic Topic Modeling to Boost Your Marketing and Strategy

Data & AI with Mukundan | Learn AI by Building by Mukundan Sankar – Practical AI & Analytics

S01 E17
08:28
Episode notes

Episode Summary:

In this episode, Mukundan simplifies the concept of Dynamic Topic Modeling (DTM) for listeners and discusses its transformative impact on businesses. DTM is a machine learning method used to track the evolution of themes in text data over time. It helps companies to make smarter decisions by staying in tune with customer needs and market trends.

Key Topics Covered:

  1. Introduction to Dynamic Topic Modeling
    • What it is and why it matters for businesses.
    • Real-world examples like customer reviews and social media trends.
  2. How Dynamic Topic Modeling Works
    • Over time, analyze text data (e.g., reviews, surveys, reports).
    • Groups words into topics such as price, quality, or features.
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Keywords
AINLPDataData ScienceMachine Learningsmall businessData AnalyticsAudience EngagementTopic ModelingDynamic Topic ModelingCustomerEmployeeCustomer FeedbackPeople AnalyticsHuman ResourcesPythonData VisualizationEntrepreneursBusiness owners