Topic modeling with short sentences

Hi everyone! I'm currently carrying a topic modeling project. My dataset is made of about 200k sentences of varying length, and I wasn't sure on how to handle this kind of data.

What approach should I employ?

What are the best algorithms and techniques I can use in this situation?

Thanks!

algorithms data dataset kind languagetechnology modeling project topic modeling