{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/13"},{"label":"Build Tools","url":"https://skillfed.io/packages/category/software-development-build-tools/3"}],"enrichment":{"capability":"Extracts keywords and key phrases from text using the RAKE algorithm, which ranks words by their frequency and co-occurrence patterns to identify domain-independent topic terms.","skillfed_tags":["keyword-extraction","nlp","text-analysis"],"use_cases":["Extract key topics from research papers or articles for quick summarization and indexing.","Identify important terms from customer feedback or survey responses for sentiment analysis.","Generate tag suggestions for blog posts or documents based on automatic phrase detection.","Build a keyword index for search engines or information retrieval systems.","Analyze text corpora to discover domain terminology without pre-labeled training data."],"what_it_does":"rake-nltk is a Python implementation of the RAKE (Rapid Automatic Keyword Extraction) algorithm, which identifies important phrases in text by analyzing word frequency and co-occurrence patterns. It wraps NLTK to provide configurable tokenization, language-specific stop words, and ranking metrics, making it suitable for extracting domain-independent keywords from documents without manual tuning.\n\nThe package offers a simple interface: initialize a Rake object, pass text or sentences to it, and retrieve ranked phrases either as a list or with their scores. It is designed to be modular and tunable, though it has not been actively maintained since late 2022 and is now abandoned.","worth_installing":"Yes, if you need a lightweight, simple keyword extraction tool and can tolerate an abandoned package. The MIT license is permissive, install friction is low, and there are no known vulnerabilities. However, be aware that no updates or maintenance will occur; test thoroughly with your Python version and nltk version before relying on it in production. For active projects requiring ongoing support, consider maintained alternatives."},"id":"rake-nltk","links":{"html":"https://skillfed.io/packages/rake-nltk","md":"https://skillfed.io/packages/rake-nltk.md","pypi":"https://pypi.org/project/rake-nltk/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2021-09-15","license_spdx":null,"license_treatment":"permissive","name":"rake-nltk","python_support":"supports_current","summary":"RAKE short for Rapid Automatic Keyword Extraction algorithm, is a domain independent keyword extraction algorithm which tries to determine key phrases in a body of text by analyzing the frequency of word appearance and its co-occurance with other words in the text."},"popularity":{"monthly_downloads":316250,"position":7679,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.6"}