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Find high FREX and high lift words in Stranger Things dialogue

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This screencast walks through how to use topic modeling and tidytext to learn topics and identify important words, with #TidyTuesday Stranger Things dialogue. Check out the code on my blog: juliasilge.com...

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28 авг 2024

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Комментарии : 10

@hris2570 Год назад

Thank you for all you do, I have learnt alot from you in R. Thank you.

@cheninitayeb6590 Год назад

Thank you Julia for this session even WE miss you this few month bcz you did not lot of feature ingenuerie thanks lot for your efforts

@CaribouDataScience Год назад

Very nice! Thanks

@olexiypukhov-KT Год назад

Is there going to be a new video? I can't wait for the next one!

@houssineabaali7882 Год назад

Still working as of today, ty!

@angvl8793 Год назад

Thx u !

@saraoliver2557 Год назад

Dear Julia, thank you very much for your content! Learning about FREX and high lift words will definitely improve my workflow. On a general note, I got the impression that there is currently a kind of hype regarding „BERTopic“. Do you know about an option to use this approach in R? Kind regards, Sara 😊

@JuliaSilge Год назад

I have not played around with this in R, no! It would be really interesting to see.

@sangwonchu7662 Год назад

is there any advantage of using logodds rather than tf-idf?

@JuliaSilge Год назад

It can have advantages because it is weighted in a different way. Check out this section (especially the last paragraph): juliasilge.github.io/tidylo/articles/tidylo.html#jane-austen-and-bigrams And this post by Tyler (one of the authors of tidylo with me): medium.com/@TSchnoebelen/i-dare-say-you-will-never-use-tf-idf-again-4918408b2310