LDA Algorithm Description

Scott Sullivan 88 views

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@tephalusname9820
dude tysm
Comment from : @tephalusname9820


@yaohongliang4303
The best explaination
Comment from : @yaohongliang4303


@TaarLps
Good idea to start with the description of how LDA assumes documents are created This was the keypoint and kinda went under the radar in most other descriptions I found
Comment from : @TaarLps


@arazsharma4781
Brilliant and Concise! :D
Comment from : @arazsharma4781


@tradertim
Thanks for this
Comment from : @tradertim


@MrDissid3nt
One of the best explanations that I've seen! Thanks!
Comment from : @MrDissid3nt


@jaykishanbaldania8858
it seems like you are just reading out some book
Comment from : @jaykishanbaldania8858


@davidbellaiche_photography
great, thanks
Comment from : @davidbellaiche_photography


@Nicole-se7zj
Great video! Beautiful and concise presentation, love it!
Comment from : @Nicole-se7zj


@lyqht
Great presentation on LDA!
Comment from : @lyqht


@jeancm26
Scott, thanks you very much for this high level explanation, question: how we can feed model with topics and key words for each topic?
Comment from : @jeancm26


@mmishrafaculty
Very well explained using appropriate notations The explanation of generative process and the two LDA assumptions stand out because once you understand these, you are clear about how LDA works Thanks Scott
Comment from : @mmishrafaculty


@089sailboot1
this was basically reading out the slides The theory behind the probabilities was not even scratched
Comment from : @089sailboot1


@juozaskolekcionierius1522
80 animals, 20 cooking Vegans triggered
Comment from : @juozaskolekcionierius1522


@rahuldeshpande9997
This is excellent!
Comment from : @rahuldeshpande9997


@sravanthik6277
5:42 in DrBleih videolecturesnet/mlss09uk_blei_tm/ , he says connections between topics can b modeled howbr??
Comment from : @sravanthik6277


@7justfun
Oh please please make more such contentwould pay for this kind of stuff
Comment from : @7justfun


@rohanchadha3506
Thank You Very helpful :)
Comment from : @rohanchadha3506


@steveg93
What is a good way to determine what topic should be specified?
Comment from : @steveg93


@adritabarari7108
This has cleared so many doubts of mine!! High level but conceptual
Comment from : @adritabarari7108


@wobuntu
Excellent and understandable introduction -- well done!
Comment from : @wobuntu


@kuokstefan6622
Concise and clear, great presentation with words:)
Comment from : @kuokstefan6622


@Dr_AliAljboury
It's really amazing and many thanks dear I really understand now the LDA how it's work and really good explanation brRegards
Comment from : @Dr_AliAljboury


@yanshengjia
Very helpful
Comment from : @yanshengjia


@mohammedhelal5778
Hi Scott Great video, but I found the 'algorithm' part a bit confusing The two things I don't understand is what it means by assuming all topics are correct except the current - does that mean that this is run per document AND per topic? I also don't understand what it means to get the proportion of assignments to topic t over all documents that come from this word brbrDoes that mean that we sum up the proportion of assignments to topic t from all documents that contain the word w? That was y understanding, but documents aren't assigned topics, so I must be missing something Any clarification would help
Comment from : @mohammedhelal5778


@dfmrrd
Best high level presentation on LDA!
Comment from : @dfmrrd


@polinactiveaccount7737
Great presentation! Thanks
Comment from : @polinactiveaccount7737

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