pke
KeyBERT
| pke | KeyBERT | |
|---|---|---|
| 3 | 5 | |
| 1,524 | 3,217 | |
| - | - | |
| 3.1 | 6.1 | |
| 10 months ago | about 1 month ago | |
| Python | Python | |
| 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/
KeyBERT
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I want to extract important keywords from large documents...
Use something else like KeyBERT or BERTopic: https://github.com/MaartenGr/KeyBERT It's much faster.
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[D]: Predict the most probable document including the answer to a given question
Using keyword similarity using KeyBERT:https://github.com/MaartenGr/KeyBERT (i.e. loading keywords for each of the given documents and compare to the keywords of the question)
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BERT execution time
Would anyone know an equation or a general rule of thumb for how long it would take this BERT algorithm (KeyBERT: https://github.com/MaartenGr/KeyBERT) to select n keywords from a string of character length m on a GPU of certain relevant specs?
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[P] Building model to extract keywords from legal documents
Look into rake, pke, phrasemachine, pyate, keybert.
- Alternate approaches to TF-IDF?
What are some alternatives?
rake-nltk - Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.
yake - Single-document unsupervised keyword extraction
RAKE-tutorial - A python implementation of the Rapid Automatic Keyword Extraction
pytextrank - Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
flashtext - Extract Keywords from sentence or Replace keywords in sentences.
pyate - PYthon Automated Term Extraction
faiss - A library for efficient similarity search and clustering of dense vectors.
textstat - :memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
phrasemachine - Quickly extract multi-word phrases from a corpus
scattertext - Beautiful visualizations of how language differs among document types.