Semantic keyword clustering with Python
Build custom clustering algorithm using embeddings and scikit-learn to group keywords by semantic similarity.
XNot a typed-decision job: needs written output, plain rules or lookups would do it, or needs raw image or audio. Also marks ideas that must not be built.2.10
Key facts
- Vertical
- Cross-industry
- Function
- SEO & AI search
- Status
- Seen in the wild
- Volume
- one-off
- Value
- meaningful
- Risk
- low
- Evidence
- described plan
- Flags
- check-fit
Source: https://www.oncrawl.com/on-page-seo/keyword-clustering-using-python-serp-api/
Build this with a classifier
Define a typed decision with a bounded answer, then evaluate it on examples.
{
"decision_type": "choice",
"question": "Does this input match the decision in “Semantic keyword clustering with Python”?",
"input": "<input to classify>",
"output": "one label from a fixed list"
}Related use cases
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