lexrank | Text summarization using Lexrank | Natural Language Processing library

by linanqiu JavaScript Version: Current License: No License

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

kandi X-RAY | lexrank Summary

lexrank is a JavaScript library typically used in Artificial Intelligence, Natural Language Processing applications. lexrank has no bugs, it has no vulnerabilities and it has low support. You can install using 'npm i lexrank-fork' or download it from GitHub, npm.

Implements Radev's Lexrank algorithm for unsupervised text summarization in node. Basically applying PageRank to each sentence in a document, finding the most important sentences, and reranking them.

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Quality

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Support

lexrank has a low active ecosystem.

It has 55 star(s) with 17 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of lexrank is current.

Quality

lexrank has no bugs reported.

Security

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

License

lexrank 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

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

Deployable package is available in npm.

Installation instructions, examples and code snippets are available.

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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"

Flask REST API: result is not getting displayed as ValueError: View function did not return a response

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

QUESTION

Flask REST API: result is not getting displayed as ValueError: View function did not return a response

Asked 2018-Nov-26 at 16:41

I am facing problem when deploying a text summarizer (LexRank) through Flask RESTful API. Please see below my code snippet

...

ANSWER

Answered 2018-Nov-26 at 16:41

sum_lex.append(str(sent)) returns None, because appending to a list is done in-place. Because you're effectively running ' '.join(None), you get the error.

Try this instead:

Source https://stackoverflow.com/questions/53485184

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

Vulnerabilities

No vulnerabilities reported

Install lexrank

The lexrank provides two functions:. The other parameters are the same.
text is the original text. There's no need to tokenize the text. Raw text is fine. lexrank.js does a sentence tokenization and then word tokenization.
lineCount is the number of sentences in the output desired.
url is the URL of the page to summarize. lexrank then uses node-unfluff to extract the text content from the page, then passes it to lexrank.summarize

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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