-
-
This is still a feature we're missing, that is present in other topic modeling libraries, such as [BERTopic](https://maartengr.github.io/BERTopic/api/representation/generation.html#bertopic.representa…
-
You could start with topic modeling first. Dr. Yang was using LDA with five or six methods like SVM etc. I think you can easily google some guides to do it with R or python. This is quite mature now.
-
# Topic modeling for #TidyTuesday Taylor Swift lyrics | Julia Silge
A data science blog
[https://juliasilge.com/blog/taylor-swift/](https://juliasilge.com/blog/taylor-swift/)
-
We have a substantial collection of Breitbart articles (240k+ from 2012 through mid-January 2017, plus daily scrapes since January 15). The site has sections that roughly correspond to categories, but…
-
Hi @Lillliant,
This issue page is for your second task on SEERa. As you know, SEERa has a layered structure and its second layer is tml (topic modeling layer). For now, we have 3 methods in SEERa t…
-
- Write a class that defines topic modeling API
- Implement the class using BERTopic
- Implement the class using LDA
-
I am getting this message in the tab where my topic modeling process is supposed to be working:
Topic Modeling: Missouri in NY Times 1851-1870 partial
The process log is displayed below. Refreshing …
-
Can I use this approach for multi-label topic modeling?
For example, if I have a dataset, in which a text sample can have 0, 1 or many labels / topics, can this source code work well?
-
Hi we recently tried to implement the topic modeling code in the package.
This is what we ran:
```
--corpdb {db} \
--topic_lexicon met_a30_2000_freq_t50ll \
--host {host address} \
--make_a…