Topic Modeling Text Documents With LDA: Python in Excel Tutorial (Free Files)

⬇️ Get the files and follow along: https://bit.ly/3QlcW3q Topic modeling with Latent Dirichlet Allocation (LDA) allows you to extract information from your text documents! It doesn't matter if you have emails, SMS text messages, Customer Service chats, or free-form fields in an IT system. LDA topic modeling is useful to ANY professional. ☕ If you found this content useful and would like to support the channel, you can buy me a coffee: https://www.buymeacoffee.com/DaveOnData -------------------------------------------------------------------------------------------- LDA ALGORITHM TUTORIALS -------------------------------------------------------------------------------------------- Latent Dirichlet Allocation (Part 1 of 2): https://www.youtube.com/watch?v=T05t-SqKArY Training Latent Dirichlet Allocation: Gibbs Sampling (Part 2 of 2): https://www.youtube.com/watch?v=BaM1uiCpj_E -------------------------------------------------------------------------------------------- VIDEO CHAPTERS -------------------------------------------------------------------------------------------- 00:00 Intro 01:10 The BBC Dataset 02:08 Processing the Text Data 06:34 Training the LDA Topic Model 09:00 Which Docs Have Which Topics? 10:15 Which Words Belong to Which Topics? 11:52 How Many Topics? 14:45 What’s Next? #pythoninexcel #pythonexcel #pythonforexcel