TextRank | extract relevant keywords from a given text | Natural Language Processing library

by crodas PHP Version: Current License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | TextRank Summary

TextRank is a PHP library typically used in Artificial Intelligence, Natural Language Processing applications. TextRank has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

TextRank [Build Status] .

Support

Quality

Security

License

Reuse

Support

TextRank has a low active ecosystem.

It has 100 star(s) with 24 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. On average issues are closed in 4 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of TextRank is current.

Quality

TextRank has no bugs reported.

Security

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

License

TextRank is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

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

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

Top functions reviewed by kandi - BETA

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

Get lexicon tag .
Get all keywords sorted alphabetically .
Get a graph of sentences
Get summary page .
Trigger an event
Extracts the words from a text .
Filter keywords .
Get all tokens .
Register event handler .
Get all sentences from a text .

Get all kandi verified functions for this library.

TextRank Key Features

No Key Features are available at this moment for TextRank.

TextRank Examples and Code Snippets

No Code Snippets are available at this moment for TextRank.

Community Discussions

Trending Discussions on TextRank

R: Converting Tibbles to a Term Document Matrix

R: Error in textrank_sentences(data = article_sentences, terminology = article_words) : nrow(data) > 1 is not TRUE

Separate sentences ending with a scientific reference number in r

Implementation of TextRank algorithm using Spark(Calculating cosine similarity matrix using spark)

QUESTION

R: Converting Tibbles to a Term Document Matrix

Asked 2021-Apr-09 at 06:39

I am using the R programming language. I learned how to take pdf files from the internet and load them into R. For example, below I load 3 different books by Shakespeare into R:

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ANSWER

Answered 2021-Apr-09 at 06:39

As the error message suggests, VectorSource only takes 1 argument. You can rbind the datasets together and pass it to VectorSource function.

Source https://stackoverflow.com/questions/67016046

QUESTION

R: Error in textrank_sentences(data = article_sentences, terminology = article_words) : nrow(data) > 1 is not TRUE

Asked 2021-Apr-07 at 05:11

I am using the R programming language. I am trying to learn how to summarize text articles by using the following website: https://www.hvitfeldt.me/blog/tidy-text-summarization-using-textrank/

As per the instructions, I copied the code from the website (I used some random PDF I found online):

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ANSWER

Answered 2021-Apr-07 at 05:11

The link that you shared reads the data from a webpage. div[class="padded"] is specific to the webpage that they were reading. It will not work for any other webpage nor the pdf from which you are trying to read the data. You can use pdftools package to read data from pdf.

Source https://stackoverflow.com/questions/66979242

QUESTION

Separate sentences ending with a scientific reference number in r

Asked 2021-Mar-05 at 05:04

I am working on a project where one of the steps is to separate text of scientific articles into sentences. For this, I am using textrank which I understands it looks for . or ? or ! etc. to identify end of the sentence of tokenization.

The problem I am running into is sentences that end with a period followed directly by a reference number (that also might be in brackets). The examples below represent the patterns I identified and collected so far.

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ANSWER

Answered 2021-Mar-05 at 05:04

For the exact sample inputs you gave us, you may do a regex search on the following pattern:

Source https://stackoverflow.com/questions/66487031

QUESTION

Implementation of TextRank algorithm using Spark(Calculating cosine similarity matrix using spark)

Asked 2020-Jul-20 at 16:24

I am trying to implement textrank algorithm where I am calculating cosine-similarity matrix for all the sentences.I want to parallelize the task of similarity matrix creation using Spark but don't know how to implement it.Here is the code:

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ANSWER

Answered 2020-Jul-20 at 16:24

The experiments with large scale matrix calculation for cosine similarity are well written in here!

To achieve speed and not compromising much on the accuracy, you can also try hashing methods like Min-Hash and evaluate Jaccard Distance similarity. It comes with a nice implementation with Spark ML-lib, the documentation has very detailed examples for reference: http://spark.apache.org/docs/latest/ml-features.html#minhash-for-jaccard-distance

Source https://stackoverflow.com/questions/62988767

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

Vulnerabilities

No vulnerabilities reported

Install TextRank

You can download it from GitHub.
PHP requires the Visual C runtime (CRT). The Microsoft Visual C++ Redistributable for Visual Studio 2019 is suitable for all these PHP versions, see visualstudio.microsoft.com. You MUST download the x86 CRT for PHP x86 builds and the x64 CRT for PHP x64 builds. The CRT installer supports the /quiet and /norestart command-line switches, so you can also script it.

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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