Comments (1)
For anyone out there playing along at home, switching from a fixed ten to topKeywordSlice
resulted in as many as 18 "top keywords" in my sample texts. It slightly boosted some scores, with one outlier getting a +14% bump… yet it remained the lowest scoring sentence.
Differences after change, absolute percentage AP and standard deviations SD: AP (SD)
- mean: +1.083% (±0.0132s)
- median: +0.1667% (±0.0112s)
- mode: +0.000% (±0.011011)
- minimum: +0.0000% (±0.025s)
- maximum score: +14.06778% (±0.0341s)
The limited deltas are surprising.
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Related Issues (11)
- And what if my article doesn't have a title HOT 2
- ImportError: cannot import name 'TextTeaser' HOT 2
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- cannot run the example code.. HOT 3
- ImportError: No module named copy_reg HOT 6
- Can this project support for Chinese? HOT 4
- Is there a bias of presenting sentences from the end of the article? HOT 3
- Not able to create TextTeaser() object. Does it require an API key? HOT 3
- Words not delimited by newline in Parser.getKeywords() HOT 1
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