pke
retext-readability
| pke | retext-readability | |
|---|---|---|
| 3 | 1 | |
| 1,556 | 94 | |
| - | - | |
| 3.1 | 6.3 | |
| over 1 year ago | over 1 year ago | |
| Python | JavaScript | |
| GNU General Public License v3.0 only | MIT License |
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pke
- Question on easing comprehension
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[P] Building model to extract keywords from legal documents
Look into rake, pke, phrasemachine, pyate, keybert.
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Best approach for automatic key word extraction
There are lots of off-the-shelf tools for this. Look into: - https://github.com/boudinfl/pke - https://github.com/kevinlu1248/pyate - https://github.com/zelandiya/RAKE-tutorial - https://github.com/slanglab/phrasemachine - https://github.com/MaartenGr/KeyBERT/
retext-readability
What are some alternatives?
KeyBERT - Minimal keyword extraction with BERT
textstat - :memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.
rake-nltk - Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.
retext-profanities - plugin to check for profane and vulgar wording
yake - Single-document unsupervised keyword extraction
pytextrank - Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
percollate - A command-line tool to turn web pages into readable PDF, EPUB, HTML, or Markdown docs.
retext-equality - plugin to check for possible insensitive, inconsiderate language
pyate - PYthon Automated Term Extraction
phrasemachine - Quickly extract multi-word phrases from a corpus