Suppose I have a list of keywords given to a document:

{keyword, extract, graph, represent, text, weight, number, document}

and then I have the keywords generated by a model:

{extract, keyword, weight, analysis, representation, search}

Is it possible to extimate precision/recall and F1 score for this kind of data?

Would I do it for every document if I work with a corpus and then take a mean to evaluate how well the model works?


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