pke VS pytextrank

Compare pke vs pytextrank and see what are their differences.

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pke pytextrank
3 2
1,524 2,102
- 0.5%
3.1 5.9
10 months ago 2 months ago
Python Python
GNU General Public License v3.0 only MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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

Posts with mentions or reviews of pke. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-15.

pytextrank

Posts with mentions or reviews of pytextrank. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-15.

What are some alternatives?

When comparing pke and pytextrank you can also consider the following projects:

KeyBERT - Minimal keyword extraction with BERT

bert2bert-summarization - Abstractive summarization using Bert2Bert framework.

rake-nltk - Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

yake - Single-document unsupervised keyword extraction

spacy-models - 💫 Models for the spaCy Natural Language Processing (NLP) library

pyate - PYthon Automated Term Extraction

textstat - :memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.

turing - :sparkles: :dna: Turing ES - Enterprise Search, Chatbot using Search Engine and Many NLP Vendors.

phrasemachine - Quickly extract multi-word phrases from a corpus

Text-Summarization-using-NLP - Text Summarization using NLP to fetch BBC News Article and summarize its text and also it includes custom article Summarization