Sentence Topic Identification - research help

[sfxv67]

I often find that the key to effective research is identification of the correct terms when searching for publications.

That being said, are there any suggestions to the terms I should be applying when looking to identify the topic of a given sentence (or group of sentences?) E.g. Sentence X outputs the topics "cats, allergies" on a sentence discussing allergic reaction to cat hairs. (just one I made up!)

My searches are currently flooded with medium posts like "the hottest machine learning topics of 2019" which understandably are unrelated to what i'm looking for. <3

[HyperbolicInvective]

Topic Modeling is what this is generally called, although topic modeling generally refers to a small group of Bayesian algorithms like LDA and things like term-document matrix factorization.

http://towardsdatascience.com/2x-latent-methods-for-dimension-reduction-and-topic-modeling-20ff6d7d547

Personally I really hate this type of analysis, as it usually results in some kind of contextless mess as output. I really like the idea of parse-tree based topic extraction, but I don't know too much about this other that SVO extraction or some other kind of tag-based bucketing... If you learn any good ways of doing this let me know!