Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/jordanleeevans/keyword-relevance-score
A keyword relevance scoring tool.
https://github.com/jordanleeevans/keyword-relevance-score
keyword mysql python seo seo-optimization tf-idf
Last synced: 2 days ago
JSON representation
A keyword relevance scoring tool.
- Host: GitHub
- URL: https://github.com/jordanleeevans/keyword-relevance-score
- Owner: jordanleeevans
- License: mit
- Created: 2023-11-01T10:45:40.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-11-01T10:45:42.000Z (about 1 year ago)
- Last Synced: 2024-11-09T23:07:08.401Z (about 2 months ago)
- Topics: keyword, mysql, python, seo, seo-optimization, tf-idf
- Language: Python
- Homepage:
- Size: 5.86 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# README
This tool aims to decide a keywords relevance to a particular text based on a wider corpus. In the context of a website, this tool will quantify how relevant a keyword is to a particular page based on the content of the entire website. This tool is useful for SEO purposes, as it can help you decide which keywords to target for a particular page. This tool is also useful for content writers, as it can help you decide which keywords to include in your content.
The `Queries` enum has been redacted of any sensitive information. This means that the tool will not work out of the box. You will need to add your own queries to the `Queries` enum. The queries are used to retrieve the content of the website, keywords and other information that is required to calculate the relevance of a keyword to a particular page.
# Dependencies
- Python 3.6+
- MySQLdb
- argparse
- dsnparse