LDA Topic modeling in R 

Many thanks for putting this all together. Very helpful.

Thanks for sharing! The best tutorials I've watched. No fancy slides, but very very useful code line by line.

Thank you tons, sir, very helpful video!

Thanks for such a good content!!!

Thank you so much, this helps a lot

wow! very helpful!

This was really awesome! I am going to try implement this to a survey here in New Zealand 🇳🇿

Hi kasper, nice explaination on TM, i am not able to figure out how to plot latent topics to visualise the evolution of topics yearwise.

Kasper, your videos are so helpful! Do you know of any good videos explaining how to use Wordfish or Latent Semantic Scaling? I'm struggling with those.

Hello it was good to learn LDA from this video, but can you arrange any videos for Structural topic modelling full explanation ?

This is a great tutorial. I have a quick question. Which file type do I have to convert my current data set in an Excel file?

Thank you for this great tutorial! How do we order the heat map if we aggregate by date instead of by president? It is not sorted, so visually we cannot retrieve information.

Nice! Can you try run the other topic modelling that is BTM?

Hi again, I also have one question: how to add Slovenian stopwords in R? Do you know it maybe? Thank you so much.

Hi Kasper. I find this video very useful. I have one question. In my research, I am analysing comments from social media. But I organised the data as follows and I would be happy if you could help. In the Excel document, I have the authors of the comment written in one column, and I have the content of the comment written in the other column. So I have approx. 4,000 rows and each row has two columns - one for the author and one for the comment. I had all of these comments “separate” in my document, but I wanted to combine them. I obtained each group of comments from individual web portals (eg. Facebook posts, comments under articles, Reddit debates, ...). And I combined all these documents of comments into two columns. So now all comments are written in one column. That's my corpus (it is binary now - all the comments in one row). Can I use the LDA in the R program on this data set? Or do comment groups need to be separated into individual documents for the LDA method? I hope my question is clear, thank you so much.

For the corpus can I use a large number of tweets. If so, what should be the data type?

Great video ! Although I found that wearing a wig was a bit over the top

How do I add my own csv file as the corpus?

Kasper, how would this work for a correlation topic model heat map with topic rows/topic columns?

Hello! I have a question.. is there a way to implement LDA in other languages? I'm trying to applied to Italian Reviews from the web