Latent Dirichlet Allocation (LDA) with Gibbs Sampling Explained

[@stanislawcronberg3271]

I really like the recent uploads. Bra jobbat mannen :D Reading another comment, I think it's useful to not just jump into SOTA methods because a lot simpler things tend to be the backbones for many of the SOTA methods. I find it extremely useful when you make videos like this one, because it just helps broaden my knowledge on new topics. Looking forward to more of these! But really just keep doing what you find interesting because I'm sure I and others will be interested as well :)

[@ahmadulfijihaddzulqornain6790]

Oh my goodness, you have completely alleviated my stress for the past few weeks. It was extremely difficult for me to understand the generative process. I'm currently working on my final degree assignment. This video is hugely helpful! I'm wondering if I can ask you more questions through LinkedIn or another social media platform.

[@AladdinPersson]

I'm definitely no expert in LDA so not sure how helpful I can be, but glad it gave you a good start in the topic. I haven't uploaded the video yet, but have a video on implementation of it from scratch in Python. If your assignment is to do that then it might be helpful too: kzbin.info/www/bejne/anXWmHaQaLCHhM0

[@ahmadulfijihaddzulqornain6790]

@@AladdinPersson Thank you very much! I read somewhere that topic coherence can help determine a good model. Do you have any ideas on how that might work?

[@mariaponomarenko3006]

ha lol i am also currently using it for my final degree assignment!

[@hissaanali5860]

Which tool are you using to show and edit pdfs ?

[@ishanmistry8479]

Thanks for the video! Just curious as to what app you were using as the pdf reader in the video.

[@mariaponomarenko3006]

What is w' here 25:34?

[@user-wr4yl7tx3w]

I wonder how well they work.

[@AladdinPersson]

It works decently when I tried it, definitely not SOTA but yeah. Everything doesn't have to be sota ^^

[@JeffersonAmaral-id2en]

😃