Topic Modeling Explained (LDA, BERT, Machine Learning)🤯📚🔍

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Have you ever wondered how Netflix always seems to know exactly which series you’ll love, or why Spotify suddenly suggests the perfect song just when you wanted to hear it? The answer: topic modeling! And the best part? You can use this method for your own academic projects too.

In this video , I’ll walk you through exactly what topic modeling is, how it works, and why (even with minimal prior knowledge) you can take your term paper or thesis to the next level using this machine learning method.
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🤓 read the blog article related to this video:
► https://shribe.eu/topic-modeling/
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00:00 Intro
00:39 #1 What is topic modeling?
02:01 #2 How can you use topic modeling in your studies?
03:08 #3 How does topic modeling work in practice?
04:31 #4 Step-by-step guide: How to run your own topic modeling
08:42 #5 BERT – the state of the art in topic modeling?
09:54 #6 Do you need programming skills?
10:20 Conclusion

Topic modeling is a computer-assisted research method from the field of machine learning that uncovers hidden thematic structures in large volumes of text. Imagine you have hundreds of articles, books, or social media posts and want to figure out what core themes they cover. This is where topic modeling comes in: it helps you identify patterns in qualitative data—without having to read every single text from start to finish.

A “topic” isn’t a fixed category but rather a statistical distribution over words that frequently appear together. It’s up to you, as the researcher, to interpret these clusters and assign them meaningful labels, depending on your research question and the specific context.

The best-known technique in topic modeling is Latent Dirichlet Allocation (LDA). This method automatically identifies topics by grouping together words that frequently co-occur. In the next step, you can interpret these clusters to uncover underlying meanings—tailored to your research question and the type of texts you’re analyzing. These days, even more powerful models like BERT can capture the contextual meaning of individual words—but more on that in a moment!

This video is about:
topic modeling, topic modeling explained, topic modeling phyton, topic modeling llm, topic modeling bert, topic modeling lda, topic modeling machine learning, topic modeling project

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