rake-nltk

library1.0.6pypypi✓ verified 87d ago

RAKE-NLTK is a Python implementation of the Rapid Automatic Keyword Extraction (RAKE) algorithm, leveraging the Natural Language Toolkit (NLTK). It's designed to extract key phrases from text by analyzing word frequency and co-occurrence. The library, currently at version 1.0.6 (released September 2021), provides a straightforward interface for keyword extraction and offers configuration options for tokenizers, stopwords, and ranking metrics. Its release cadence is infrequent, with the last major update in 2021.

ai-ml llm-agents data

pip install rake-nltk

github ↗package ↗homepage ↗

INSTALL

IMPORT

SIG · RAKE-NLTK

rake-nltk

ai-mlpythonv1.0.6

Install

3.2s avg

Import

749ms

Disk

35MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v1.0.6 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.920 runs

installs and imports cleanly · install 0.0s · import 0.783s · 35.5MB

glibc

py 3.10–3.920 runs

installs and imports cleanly · install 3.2s · import 0.716s · 36MB

35MB installed

● package 35MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

Rake

✓ from rake_nltk import Rake

Initialize the Rake object (which uses NLTK stopwords and punctuation by default) and extract keywords from text. This example also shows how to download the necessary NLTK corpora.

import nltk nltk.download('stopwords') nltk.download('punkt') from rake_nltk import Rake text = """Compatibility of systems of diophantine equations, strict inequations, and nonstrict inequations are considered. Upper bounds for components of a minimal set of solutions and algorithms of construction of minimal generating sets of solutions for all types of systems are given. These criteria and the corresponding algorithms for constructing a minimal supporting set of solutions can be used in solving all the considered types of systems and systems of mixed types.""" r = Rake() r.extract_keywords_from_text(text) ranked_phrases = r.get_ranked_phrases() ranked_phrases_with_scores = r.get_ranked_phrases_with_scores() print("Top 5 ranked phrases:") for phrase in ranked_phrases[:5]: print(f"- {phrase}") print("\nTop 5 ranked phrases with scores:") for score, phrase in ranked_phrases_with_scores[:5]: print(f"- {phrase} (Score: {score:.2f})")

Debug

Known issues

breakingNLTK data (stopwords and punkt tokenizer) are critical dependencies for `rake-nltk` and must be downloaded separately. Without these, the library will fail with a `LookupError`.

fix

Run `import nltk; nltk.download('stopwords'); nltk.download('punkt')` once after installing `nltk` and `rake-nltk`.

affects: All versions of rake-nltk

gotchaInstalling `rake-nltk` directly from a cloned GitHub repository using `python setup.py install` can sometimes lead to an `error: package directory 'rake_nltk' does not exist`, especially in older `pip` versions or specific build environments. This is often related to how NLTK dependencies or post-install hooks are handled during the build process.

fix

Always prefer `pip install rake-nltk`. If installing from source, ensure `nltk` is installed beforehand (`pip install nltk`) and consider updating `pip` to a recent version.

affects: Potentially all versions, more common with older pip/direct source installs.

Errors

Common errors & fixes

LookupError: <resource> not found. Please use the NLTK Downloader to obtain the resource:

The required NLTK corpus (e.g., 'stopwords' or 'punkt') has not been downloaded.

fix

Run `import nltk; nltk.download('stopwords'); nltk.download('punkt')` in your Python environment.

error: package directory 'rake_nltk' does not exist

Attempting to install `rake-nltk` by cloning the repository and running `python setup.py install`, which can fail due to specific build environment issues or older `pip` versions not handling dependencies correctly during setup.

fix

Use `pip install rake-nltk` instead of installing from source. Ensure `nltk` is installed if you encounter persistent issues.

r.get_ranked_phrases() returns an empty list or unexpected results

This can happen if NLTK stopwords or punkt tokenizer are not downloaded, or if the input text is too short, lacks significant keywords, or is primarily composed of stop words.

fix

Verify that `nltk.download('stopwords')` and `nltk.download('punkt')` have been executed. Review your input text for sufficient content and relevant non-stop words.

Upgrade

Version history

1.0.6latest on PyPI · released Sep 15, 2021

Audit

Dependencies

nltkrequiredRequired for natural language processing functionalities like tokenization and stopwords. Specific NLTK corpora ('stopwords', 'punkt') must be downloaded separately.

Agent activity

24 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/csurfer/rake-nltk ↗

packagehttps://pypi.org/project/rake-nltk/ ↗

homepagehttps://csurfer.github.io/rake-nltk ↗