Introduction to Topic Modeling for Business
Understand the concept of topic model - applications and limitations
Learn how to build topic models and interpret the latent themes
Use visual representations and statistical measures to explain goodness of model
In this 2-hour long project-based course, you will learn how to create topic models from a given corpus, relevant to gain business insights. Topic modeling can be applied to business reports, trending topics on social media platforms, or even reviews in e-commerce websites to extract latent themes associated with it. For illustration purposes, the custom dataset to be used in this project is built on articles concerned with Digital Economy. Assume, that an entity is interested to understand what does the term mean, and how the entity could be benefited from it. The method to build a topic model will be divided into the following steps, beginning with data cleaning, visual exploratory analysis with WordCloud, preparation of corpus to build a topic model, and finally, represent the themes with an interactive visualization. This project will lightly cover the basic conceptual framework of topic modeling as a text mining tool (and where can it be used), along with statistical measures to estimate the goodness of a topic model. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Skills you will develop
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction to the dataset
Data cleaning and preparation
Exploratory analysis with WordCloud
Prepare data for Topic Modeling
Build Topic Model
Visualize Model
How Guided Projects work
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
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