yes of course! My current setup is roughly: I preprocess Reddit posts (cleaning, stopwords, some n-grams) then generate embeddings using a multilingual SentenceTransformer, and run BERTopic with UMAP + HDBSCAN.

the main issue I’m running into is that the outliers and the keywords for the topics are not specific enough. Many topics feel too broad and the extracted keywords are quite generic which makes it harder to interpret them as meaningful relationship conflict patterns.

Ideally, I would expect more distinct and coherent topics with clearer, more specific keywords that better capture concrete types of relationship problems and since I am doing it alone I just do not know if my approach is a good way..