udpipe | R package for Tokenization , Parts of Speech Tagging | Natural Language Processing library

by bnosac C++ Version: 0.8.8 License: MPL-2.0

X-Ray Key Features Code Snippets Community Discussions(9)Vulnerabilities Install Support

kandi X-RAY | udpipe Summary

udpipe is a C++ library typically used in Artificial Intelligence, Natural Language Processing applications. udpipe has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

This repository contains an R package which is an Rcpp wrapper around the UDPipe C++ library (

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Quality

Security

License

Reuse

Support

udpipe has a low active ecosystem.

It has 181 star(s) with 26 fork(s). There are 13 watchers for this library.

It had no major release in the last 12 months.

There are 14 open issues and 83 have been closed. On average issues are closed in 76 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of udpipe is 0.8.8

Quality

udpipe has 0 bugs and 0 code smells.

Security

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

udpipe code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

udpipe is licensed under the MPL-2.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

udpipe releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 3840 lines of code, 31 functions and 26 files.

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

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udpipe Key Features

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udpipe Examples and Code Snippets

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Community Discussions

Trending Discussions on udpipe

Find all possible phrase matches between string and lookup table

R SQL Server file does not exist error - but it does

R Udpipe package install into SQL Server error

Extracting verbs except for the POStag from text with POS tag in R

How to fix memory allocation issues when converting annotated NLP model to dataframe in R

Using `BTM` with `predict` in R is outputting uniform topic probabilities of 0.1

How to find the co-occurences of a specific term with udpipe in R?

Using rvest with drake: external pointer is not valid error

udpipe (keywords_rake) how to link keywords to the document they where extracted from

QUESTION

Find all possible phrase matches between string and lookup table

Asked 2022-Jan-13 at 08:25

I have a data frame with a bunch of text strings. In a second data frame I have a list of phrases that I'm using as a lookup table. I want to search the text strings for all possible phrase matches in the lookup table.

My problem is that some of the phrases have overlapping words. For example: "eggs" and "green eggs".

...

ANSWER

Answered 2022-Jan-13 at 08:25

I think you can simply use grepl to match if a string is inside another one. From that you apply grepl to all other matching patterns

Source https://stackoverflow.com/questions/70688812

QUESTION

R SQL Server file does not exist error - but it does

Asked 2021-Aug-30 at 00:50

I'm running R 3.5.2 inside SQL Server 2019.

Loading the pre-trained udpipe model using the following command:

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ANSWER

Answered 2021-Aug-30 at 00:50

I've done it. (Finally!!)

Yes, it was a permissions issue, but not like you would expect. Aside from SQL having access to the folder, to have R access a file folder outside of working directory. You have to give permissions to "ALL APPLICATION PACKAGES" object to that folder.

Hope that saves anyone else the hours of piecing together google bits.

Source https://stackoverflow.com/questions/68956738

QUESTION

R Udpipe package install into SQL Server error

Asked 2021-Aug-27 at 15:20

I get the following error when I try to run UDPIPE via external script call in SQL Server.

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ANSWER

Answered 2021-Aug-27 at 15:20

Thank you for the guidance. Yes you were correct. It does seem to be the result of installing packages that were built for the wrong version of R. Alas, removing and re-installing packages doesnt quite fix it, as there seems to be a lot of "stuff" left over wreaking havoc.

For anyone that lands here in the future: The solution in the end was to uninstall R services using the SQL 2019 setup tool. Then re-install R services. And finally install a clean R 3.5.2 instance, install all needed R packages there, and copy over to the SQL R Library.

That seems to cleanup all the bits that were "corrupted" for lack of a better term.

Source https://stackoverflow.com/questions/68925192

QUESTION

Extracting verbs except for the POStag from text with POS tag in R

Asked 2021-Jun-13 at 20:09

I am new in R. I tried to gather the verbs ("/VB","/VBD","/VBG","/VBN","/VBP","/VBZ") using "openNLP" package (Note that 'udpipe' does not work in my environment). I have a sentence mixed with the tag as below.

"Doing/VBG work/NN as/IN always/RB ./. playing/VBG soccer/NN is/VBZ good/JJ ./. I/PRP do/VBP that/IN"

How can I achieve the verbs without POS tags? The answer I am trying to get in this example is

"doing", "playing", "is", "do"

...

ANSWER

Answered 2021-Jun-13 at 20:09

your requested example:

Source https://stackoverflow.com/questions/67961637

QUESTION

How to fix memory allocation issues when converting annotated NLP model to dataframe in R

Asked 2020-Dec-03 at 12:02

I am trying to convert an annotated NLP model of size 1.2GB to dataframe. I am using the Udpipe package for natural language processing in R with following code:

...

ANSWER

Answered 2020-Dec-03 at 12:02

Probably you have quite some documents to annotate. It's better to annotate in chunks as shown at https://cran.r-project.org/web/packages/udpipe/vignettes/udpipe-parallel.html

Following code will annotate in chunks of 50 documents in parallel across 2 cores and basically does your data.frame command. You will no longer have the issue as the function did strsplit on each chunks of 50 documents instead of on your full dataset where apparently the size of the annotated text was too large to fit into the limits of a stringbuffer in R. But below code will solve your issue.

Source https://stackoverflow.com/questions/65114557

QUESTION

Using `BTM` with `predict` in R is outputting uniform topic probabilities of 0.1

Asked 2020-Jul-29 at 18:26

I have a 3000 x 2 corpus data frame whose name is dfcorpus, comprised of two columns: document ids and texts (lowercased and preprocessed). I am using the biterm topic model BTM package in R as follows:

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ANSWER

Answered 2020-Jul-29 at 18:26

Your dfcorpus should be a tokenised data.frame as indicated in the help of BTM at https://cran.r-project.org/web/packages/BTM/BTM.pdf

Source https://stackoverflow.com/questions/63134120

QUESTION

How to find the co-occurences of a specific term with udpipe in R?

Asked 2020-May-04 at 18:29

I am new to the udpipe package, and I think it has great potential for the social sciences.

A current project of mine to study how news articles write about networks and networking (i.e. the people kind, not computer networks). For this, I webscraped 500 articles with the search string "network" from a Dutch site for news about the flexible economy (this is the major source of news and discussion about e.g. self-employment). The data is in Dutch, but that should not matter for my question.

What I like to use udpipe for, is to find out in what context the noun "netwerk" or verb "netwerken" is used. I tried kwic to get this (from quanteda), but that gives me just the "window in which it occurs.

I would like to use the lemma (netwerk/netwerken) with the co-occurences operator, but without specifying a second term, and only limited to that specific lemma, rather than calculating all co-occurences.

Is this possible, and how? A normal language example: In my network, I contact a lot of people through Facebook -> I would like to get co-occurrence of network and contact (a verb) I found most of my clients through my network -> here I would like "my network" + "found my clients".

Any help is mightily appreciated!

...

ANSWER

Answered 2020-May-04 at 18:29

It looks like that udpipe makes more sense about "context" than kwic. If sentence level, lemma and limiting word types suffices it should be rather straight forward. Udpipe had dutch model also available prebuilt.

Source https://stackoverflow.com/questions/61589671

QUESTION

Using rvest with drake: external pointer is not valid error

Asked 2020-Apr-04 at 21:57

When I first run the code below, everything is ok. But when I change something in html_file %>%... comand, for example commenting tolower(), I get the following error:

...

ANSWER

Answered 2020-Apr-04 at 21:57

By default, drake saves targets as RDS files (other options here). So https://github.com/tidyverse/rvest/issues/181#issuecomment-395064636, which you brought up, is exactly the problem. I like (1) because text is compatible with RDS. Speaking broadly, it is up to the user to choose good targets compatible with drake's data storage system. See https://books.ropensci.org/drake/plans.html#how-to-choose-good-targets for a discussion and links to similar issues. But you want to go with (2), you could return the file path to your HTML file from within a dynamic file.

Source https://stackoverflow.com/questions/61031325

QUESTION

udpipe (keywords_rake) how to link keywords to the document they where extracted from

Asked 2020-Jan-28 at 10:25

I am using the function keywords_rake from the udpipe package (for R) to extract keywords from a bunch of documents.

...

ANSWER

Answered 2020-Jan-28 at 10:25

You can use txt_recode_ngram together with the outcome of keywords_rake to do this. The advantage is that everything is back in the original data.frame and you can then select what you need. See example below using the dataset supplied with udpipe.

Disclaimer: Code copied from jwijffels' answer in issue 41 on the github page of udpipe.

Source https://stackoverflow.com/questions/59934757

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

Vulnerabilities

No vulnerabilities reported

Install udpipe

The package is available under the Mozilla Public License Version 2.0. Installation can be done as follows. Please visit the package documentation at https://bnosac.github.io/udpipe/en and look at the R package vignettes for further details. For installing the development version of this package: remotes::install_github("bnosac/udpipe", build_vignettes = TRUE).