pke
KeyBERT
| pke | KeyBERT | |
|---|---|---|
| 3 | 5 | |
| 1,556 | 3,568 | |
| - | - | |
| 3.1 | 6.5 | |
| over 1 year ago | 5 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pke
- Question on easing comprehension
-
[P] Building model to extract keywords from legal documents
Look into rake, pke, phrasemachine, pyate, keybert.
-
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
-
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.
-
[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)
-
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?
-
[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.
textstat - :memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.
faiss - A library for efficient similarity search and clustering of dense vectors.
pyate - PYthon Automated Term Extraction
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
retext-readability - plugin to check readability
scattertext - Beautiful visualizations of how language differs among document types.