spacy_readability | spaCy pipeline component for adding text | Natural Language Processing library

by mholtzscher Python Version: 1.4.1 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | spacy_readability Summary

spacy_readability is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. spacy_readability has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However spacy_readability build file is not available. You can download it from GitHub.

spaCy pipeline component for adding text readability meta data to Doc objects.

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Quality

Security

License

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Support

spacy_readability has a low active ecosystem.

It has 46 star(s) with 9 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 13 have been closed. On average issues are closed in 6 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of spacy_readability is 1.4.1

Quality

spacy_readability has 0 bugs and 0 code smells.

Security

spacy_readability has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

spacy_readability code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

spacy_readability is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

spacy_readability releases are available to install and integrate.

spacy_readability has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

spacy_readability saves you 1682 person hours of effort in developing the same functionality from scratch.

It has 3729 lines of code, 32 functions and 6 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed spacy_readability and discovered the below as its top functions. This is intended to give you an instant insight into spacy_readability implemented functionality, and help decide if they suit your requirements.

Compute the DALE score
Return the number of words in a document
Return the number of sentences in a document
Calculate the Coleman - Luu - Luu
Compute the FK grade for a document
Return the number of syllables in a document
Calculate the percentage of words in a document
Compute FK - Lease Lease
Calculate the arr
Compute the smog

Get all kandi verified functions for this library.

spacy_readability Key Features

No Key Features are available at this moment for spacy_readability.

spacy_readability Examples and Code Snippets

No Code Snippets are available at this moment for spacy_readability.

Community Discussions

Trending Discussions on spacy_readability

Installing spacy_readability in jupyter notebook

QUESTION

Installing spacy_readability in jupyter notebook

Asked 2022-Feb-04 at 09:02

I am trying to use spacy and some related packages in jupyter

...

ANSWER

Answered 2022-Feb-04 at 04:34

You are probably missing ujson.

To install spacy-readability:

building and creating wheel for ujson is needed.

Here is a screenshot from my notebook, when I tried to install spacy-readability

Also, from the error messages it looks like you need Microsoft Visual C++ 14.0 or greater if you have an older version.

To install ujson try !pip install ujson

Source https://stackoverflow.com/questions/70978923

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install spacy_readability

You can download it from GitHub.
You can use spacy_readability like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

Run make setup to prepare workspace. Run make test to run all tests. Run make format to run black code formatter. Run make lint to run pylint. Run make mypy to run mypy.

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