How LDA Can Be Used to Detect Trending Topics on Social Media

📰 Medium · NLP

Learn how to use Latent Dirichlet Allocation (LDA) to detect trending topics on social media, and why it matters for businesses and researchers

intermediate Published 18 Apr 2026

Action Steps

Collect social media data using APIs or web scraping
Preprocess the data by tokenizing and removing stop words
Apply LDA to the preprocessed data to identify hidden topics
Evaluate the topics using metrics such as perplexity and coherence
Use the identified topics to inform business or research strategies

Who Needs to Know This

Data scientists and NLP engineers can use LDA to analyze social media data and identify trending topics, while businesses and researchers can use this information to inform their strategies

Key Insight

💡 LDA can automatically identify hidden topics in large collections of text data, making it a powerful tool for social media analysis