Uncover Hidden Insights with Topic Modelling & Clustering in NLP

In this webinar, we'll be exploring natural language processing, specifically topic modelling, using clustering techniques. Topic modelling using clustering is a powerful technique for discovering hidden patterns between large unstructured text data. We'll begin by exploring the foundations of topic modelling and clustering, necessary data pre-processing, clustering based on underlying topics, as well as highlighting other potential methods of topic modelling and labelling.

Key Takeaways:

• Learn how clustering techniques can uncover hidden topics in large unstructured text data.
• Explore the foundations of topic modelling and essential data pre-processing steps.
• Understand how to apply clustering algorithms to group documents by underlying topics.
• Discover alternative methods for topic modelling and effective topic labelling approaches.

Aniekan is a data scientist with a passion for business, strategy, and technology. She began her career as a data scientist in Lagos Nigeria, in 2018, after her Bachelor's in Computer Science. In 2021, she relocated to the United States for her Master's in Computer Science with research focus on Artificial Intelligence and Human Robotic Interaction—which she completed in 2023. Shortly after, she resumed working as a data scientist. Over the years, Aniekan has built skills in natural language processing, using data science techniques to analyze text data and drive business decisions. She also loves to engage in the data science community, by sharing her insights and experiences on podcasts and online publications, as well as publishing on her blog. In her free time, she loves to travel or listen to good music. You can reach her on LinkedIn.