TF-IDF to find technical terms

I have some sentences and I want to see whether or not they contain words that are technical terms. I was thinking of working with Wikipedia texts: finding the most common words in a certain article, and if those words are rare among most of the other articles, then they are most likely technical terms. Does this make sense?

I tried it using 3 specialized texts from my computer, from different areas, and the results were quite bad. I got lots of numbers and common verbs and nouns (though let's say I can filter some of them in advance). And even so, I don't know how to apply this to the short, separate sentences I want to work with.

Any advice or hint is very much appreciated!

Topic bag-of-words tfidf word-embeddings nlp machine-learning

Category Data Science

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