rake-nltk VS simple_keyword_clusterer

Compare rake-nltk vs simple_keyword_clusterer and see what are their differences.

rake-nltk

Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK. (by csurfer)

simple_keyword_clusterer

A simple machine learning package to cluster keywords in higher-level groups. (by andrea-dagostino)
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rake-nltk simple_keyword_clusterer
4 2
1,034 15
- -
0.0 0.0
over 1 year ago almost 2 years ago
Python Python
MIT License 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.

rake-nltk

Posts with mentions or reviews of rake-nltk. We have used some of these posts to build our list of alternatives and similar projects.

simple_keyword_clusterer

Posts with mentions or reviews of simple_keyword_clusterer. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing rake-nltk and simple_keyword_clusterer you can also consider the following projects:

yake - Single-document unsupervised keyword extraction

pke - Python Keyphrase Extraction module

KeyBERT - Minimal keyword extraction with BERT

NLTK - NLTK Source

flashtext - Extract Keywords from sentence or Replace keywords in sentences.

WordDumb - A calibre plugin that generates Kindle Word Wise and X-Ray files for KFX, AZW3, MOBI and EPUB eBook.

hepscrape - arXiv:hep-ph scraper

TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

anime_wordclouds - Anime wordclouds

TheAlgorithms - All Algorithms implemented in Python