I used the TextRank algorithm for ranking sentences of some articles. The total number of sentences in the articles range from 10 to 71. I wanted to know if there is any way of determining the value of k for selecting the top k ranked sentences as the summary. Or is that fixed to be some number?
Is there any way of determining the value of k for selecting top k sentences in text summarization
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That's probably mostly determined by how large of a summarization you need. In other words, if the summary must fit into some constraint (e.g., 400 characters or less; at least 50 words) then what's an appropriate setting of
k
to satisfy the constraints? Relatively speaking, it's similar to hyperparmeter optimization in ML.Also, the quality will tend to be affected. Too small of
k
yields results that probably aren't effective. FWIW, I try to usek >= 3
generally. Too large ofk
and the results become less readable.