How to Improve SEO using Python : Group Keywords into Topic Clusters
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Summary
Keyword research is vital for SEO strategies, but the challenge is organising those keywords into groups, which is where topic clusters come in useful.
By grouping related keywords, it can help to improve content structure and internal linking, avoid keyword cannibalisation and improve user experience.
Python can help to automate this process with its various libraries for natural language processing, vectorisation and clustering algorithms to group keywords into themes.
This can be done in eight steps: preparing the keyword list, installing the correct Python libraries, importing the libraries and Load Data, cleaning and preprocessing the keywords, vectorising the keywords, choosing a clustering algorithm, grouping the keywords, analysing the clusters, and exporting the results.
There are various benefits to using Python to group keywords into clusters, including automation, customisation, data-driven insights, and scalability.