https://github.com/eliasdabbas/word_frequency
Absolute and Weighted Word Frequency
https://github.com/eliasdabbas/word_frequency
defaultdict keyword-extraction keywords python text-mining
Last synced: about 1 year ago
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Absolute and Weighted Word Frequency
- Host: GitHub
- URL: https://github.com/eliasdabbas/word_frequency
- Owner: eliasdabbas
- Created: 2018-01-23T01:19:40.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2018-04-24T14:06:24.000Z (about 8 years ago)
- Last Synced: 2025-04-14T18:03:38.363Z (about 1 year ago)
- Topics: defaultdict, keyword-extraction, keywords, python, text-mining
- Language: Jupyter Notebook
- Size: 678 KB
- Stars: 7
- Watchers: 3
- Forks: 9
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# Word Frequency in a Collection of Documents (absolute and weighted)
Interesting insights can be gained when text documents (tweets, keywords, web pages, etc) have associated numeric metrics with them.
This is a description of how this can be done through a Python function.
The notebook describes the process starting from a collection of two one-word 'documents' up to analyzing a list of 15,000
movie titles together with their lifetime gross revenue.
Additional data sets are provided for illustration and practice.
[Explore the notebook](abs_weighted_frequency.ipynb)