spacyr | R wrapper to spaCy NLP | Natural Language Processing library

by quanteda R Version: v1.2.1 License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | spacyr Summary

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

An R wrapper to the spaCy “industrial strength natural language processing”" Python library from

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Support

spacyr has a low active ecosystem.

It has 206 star(s) with 35 fork(s). There are 18 watchers for this library.

It had no major release in the last 12 months.

There are 21 open issues and 124 have been closed. On average issues are closed in 40 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of spacyr is v1.2.1

Quality

spacyr has 0 bugs and 0 code smells.

Security

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

spacyr code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

spacyr 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

spacyr releases are available to install and integrate.

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

It has 6972 lines of code, 28 functions and 40 files.

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

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spacyr Key Features

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spacyr Examples and Code Snippets

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Community Discussions

Trending Discussions on spacyr

Can you add custom tokens to tokenizer (Chinese language) in Quanteda?

From long to wide format with the same duplicates

How can I replace words with their lemmas using spacyr?

QUESTION

Can you add custom tokens to tokenizer (Chinese language) in Quanteda?

Asked 2021-Jul-11 at 11:12

Does anybody know if it is possible to add in custom tokens after texts have been tokenized in Quanteda?

I am trying to do some analysis of Chinese language texts, but the tokenizer doesn't recognise the abbreviation for ASEAN "东盟” as a single word (see eg below).

Or alternatively, are there any alternative tokenizers for Chinese language texts that work with Quanteda. I had been using the Spacyr package, but cannot get that working at the moment.

I had made some functions to use the 'Feature co-occurrence matrix' to count the numbers of times other words appears within a 5-word window of a particular term, then to produce a table of these results (see below). However, this doesn't seem to work for the term "东盟”

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ANSWER

Answered 2021-Jul-09 at 13:10

You can post-process the split phrases such as "东盟" to rejoin them after tokenising, if you have a specific list.

Source https://stackoverflow.com/questions/68316145

QUESTION

From long to wide format with the same duplicates

Asked 2020-Oct-05 at 14:33

Trying this command:

...

ANSWER

Answered 2020-Sep-30 at 16:35