Computational Linguistics I: Topic Modeling

10 thoughts on “Computational Linguistics I: Topic Modeling”

1. great!

2. Thank you so much for this…

3. I chose to write my Bachelor thesis on LDA with an econometric approach. I have no idea what LDA was / is. Thank you so much for this video I highly enjoyed it and learned a lot. Thanks!

4. Hi.. thanks for this nice video.. really helpful..
   i have a question… after identification of topics/clusters of all docs, if new doc came do we need to run whole process again.. or there is any other way to directly map new doc with pre defined clusters/Topics..

5. Thanks for these videos. You are a fantastic teacher!

6. 非常感谢

7. Thank you your explanation

8. Very very helpful video

9. What is your motivation for using Mallet, over any other implementation. I tend to like gensim, because it implements an online solution.

10. Is visualization of a dirichlet process over a tetrahedron interesting? (Map points to lines for a (1,0,0) but map points to triangles for (.3,.3,.3))

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