lexrank | LexRank algorithm for text summarization | Natural Language Processing library

by crabcamp Python Version: 0.1.0 License: MIT

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

kandi X-RAY | lexrank Summary

lexrank is a Python library typically used in Artificial Intelligence, Natural Language Processing, Example Codes applications. lexrank has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

LexRank algorithm for text summarization

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Quality

Security

License

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Support

lexrank has a low active ecosystem.

It has 184 star(s) with 37 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 1 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of lexrank is 0.1.0

Quality

lexrank has 0 bugs and 3 code smells.

Security

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

lexrank code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

lexrank 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

lexrank releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

It has 754 lines of code, 31 functions and 23 files.

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

Top functions reviewed by kandi - BETA

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

Calculate the IDF score for a list of documents
Tokenize text
Filters the given list of words
Tokenize a sentence
Separate punctuation from text
Clean text
Return True if the string contains all letters
Check if a word contains numbers
Assemble stopwords
Setup the argument parser
Import folder by name

Get all kandi verified functions for this library.

lexrank Key Features

No Key Features are available at this moment for lexrank.

lexrank Examples and Code Snippets

No Code Snippets are available at this moment for lexrank.

Community Discussions

Trending Discussions on lexrank

Shiny error with textAreaInput - "text must be character"

QUESTION

Shiny error with textAreaInput - "text must be character"

Asked 2020-Oct-02 at 13:14

I am trying to write a small shiny app. Part of the app is summarizing text that the user pastes into a box then press an action button. I copied the text example from an online blog and it works outside of shiny

I used the action button code from shiny website

when I run the code below, I get this error Error in sentenceParse(text, docId = docId) : text must be character I guessed this may be because the output from the text box (n or ntext) is not a factor. So I tried to change using as.factor(ntext) but still without success.

I appreciate any guidance.

thank you

...

ANSWER

Answered 2020-Oct-02 at 13:14

You need to call the reactive function as ntext(). Since it is a reactive it needs to be in a observer.

Update

Width of the output can be controlled with a div(). See the updated code below.

Source https://stackoverflow.com/questions/64164755

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

Vulnerabilities

No vulnerabilities reported

Install lexrank

You can download it from GitHub.
You can use lexrank 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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