keyword-extraction

by TheApeMachine Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | keyword-extraction Summary

keyword-extraction is a Python library. keyword-extraction has no bugs, it has no vulnerabilities and it has high support. However keyword-extraction build file is not available. You can download it from GitHub.

keyword-extraction

Support

Quality

Security

License

Reuse

Support

keyword-extraction has a highly active ecosystem.

It has 25 star(s) with 15 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 361 days. There are no pull requests.

It has a positive sentiment in the developer community.

The latest version of keyword-extraction is current.

Quality

keyword-extraction has 0 bugs and 0 code smells.

Security

keyword-extraction has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

keyword-extraction code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

keyword-extraction does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

keyword-extraction releases are not available. You will need to build from source code and install.

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

It has 325 lines of code, 29 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Prepare two languages
Read two languages
Adds a word to the corpus
Normalize a string
Convert unicode to ASCII
Adds a sentence to the corpus
Filters given pairs
Return True if p is too long
Train multiple interations
Train model
Return a torch Variable from the given sentence
Return a string representation of time since epoch
Convert seconds to minutes
Return the input and target variables from a pair
Return a list of word indexes from a sentence
Evaluate the output
Evaluate a sentence using the encoder
Find keywords by name

Get all kandi verified functions for this library.

keyword-extraction Key Features

No Key Features are available at this moment for keyword-extraction.

keyword-extraction Examples and Code Snippets

No Code Snippets are available at this moment for keyword-extraction.

Community Discussions

Trending Discussions on keyword-extraction

In a tree-sitter grammar, how do I match strings except for reserved keywords in identifiers?

re enabling parser component of spacy give error

QUESTION

In a tree-sitter grammar, how do I match strings except for reserved keywords in identifiers?

Asked 2021-Apr-20 at 12:23

This might be related to me not understanding the Keyword Extraction feature, which from the docs seems to be about avoiding an issue where no space exists between a keyword and the following expression. But say I have a fairly standard identifier regex for variable names, function names, etc.:

/\w*[A-Za-z]\w*/

How do I keep this from matching a reserved keyword like IF or ELSE or something like that? So this expression would produce an error:

int IF = 5;

while this would not:

int x = 5;

...

ANSWER

Answered 2021-Apr-20 at 12:23

There is a pull request pending since 2019 to add an EXCLUDE feature, but this is not currently implemented as of time of writing this (April 2021 - if some time has passed and you're reading this, please do re-check this!). And since treesitter also does not support negative lookbehind in its regular expressions, this has to be handled at the semantic level. One thing you can do to make this check easier is to enumerate all your reserved words then add them as an alternative to your identifier regex:

Source https://stackoverflow.com/questions/66733619

QUESTION

re enabling parser component of spacy give error

Asked 2020-Apr-14 at 13:33

I am currently trying to speed up my application by removing extra spaCy component when they are not needed and enabling them at later point of time. I have come-up with this code.

...

ANSWER

Answered 2020-Apr-14 at 13:33

You are trying to add a blank/untrained parser back to the pipeline rather the one that was provided with it. Instead, try disable_pipes(), which makes it easier to save the component and add it back later:

Source https://stackoverflow.com/questions/61182101

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

Vulnerabilities

No vulnerabilities reported

Install keyword-extraction

You can download it from GitHub.
You can use keyword-extraction 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

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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