scattertext
KeyBERT
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| scattertext | KeyBERT | |
|---|---|---|
| 3 | 5 | |
| 2,196 | 3,213 | |
| - | - | |
| 4.7 | 6.1 | |
| about 2 months ago | about 1 month ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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scattertext
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Clustering of text - Where to start?
If what you want is to determine how similar two categories are, or to learn something about the structure or words that compose those categories, you might consider word shift graphs or Scattertext.
- [Data] Principali parole degli ultimi (circa) 200 post sul sub
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Alternate approaches to TF-IDF?
Other suggestions: Take a look at Scattertext. Compare keywords to the problem of aspect extraction. I think an underutilized way to look at textual data when you have a single group of interest is the word-frequency-based odds ratio.
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?
BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.
yake - Single-document unsupervised keyword extraction
stopwords-it - Italian stopwords collection
RAKE-tutorial - A python implementation of the Rapid Automatic Keyword Extraction
word_cloud - A little word cloud generator in Python
flashtext - Extract Keywords from sentence or Replace keywords in sentences.
shifterator - Interpretable data visualizations for understanding how texts differ at the word level
pke - Python Keyphrase Extraction module
lit - The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
faiss - A library for efficient similarity search and clustering of dense vectors.
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python