pattern.nlp | R package to perform sentiment analysis | Natural Language Processing library

by bnosac R Version: Current License: Non-SPDX

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kandi X-RAY | pattern.nlp Summary

pattern.nlp is a R library typically used in Artificial Intelligence, Natural Language Processing applications. pattern.nlp has no bugs, it has no vulnerabilities and it has low support. However pattern.nlp has a Non-SPDX License. You can download it from GitHub.

R package to perform sentiment analysis for Dutch/French/English and Parts of Speech tagging for Dutch/French/English/German/Spanish/Italian. The pattern.nlp package allows to do the following text mining tasks based on the pattern library.

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Quality

Security

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Support

pattern.nlp has a low active ecosystem.

It has 63 star(s) with 17 fork(s). There are 12 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 12 have been closed. On average issues are closed in 118 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pattern.nlp is current.

Quality

pattern.nlp has 0 bugs and 0 code smells.

Security

pattern.nlp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pattern.nlp code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pattern.nlp has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

Installation instructions, examples and code snippets are available.

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pattern.nlp Key Features

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pattern.nlp Examples and Code Snippets

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Community Discussions

Trending Discussions on pattern.nlp

Dutch sentiment analysis using R

QUESTION

Dutch sentiment analysis using R

Asked 2020-Oct-06 at 09:27

In RStudio, I have column containing Dutch sentences which I would like to add a polarity score between -1.0 and +1.0 to via sentiment analysis. I've already tried to use the pattern.nlp package from jwfijffels, but this didn't work for me. I found an instruction on https://github.com/bnosac/pattern.nlp in which it is explained that - in order for the nlp package to work, you should download a specific version of Python and perform some additional steps. However, these steps are a bit vague to me.

Is there someone who can explain this installation process to me in more detail? Actually, the whole section under "Installation" is a bit of a mystery to me. What should I download specifically? Where to run the code pip install pattern? How do I properly set the PATH? It would be much appreciated if someone would guide me trough it step by step.

Or: if someone knows another way to perform sentiment analysis on text, I would of course be open to it, e.g. translating the Dutch sentences to English and then perform the sentiment analysis. Or would such a translation be a bad idea?

Here a set of 6 Dutch sentences.

...

ANSWER

Answered 2020-Oct-06 at 09:27

Sentiment analysis (using a dictionary) is basically just a pattern matching task. I think this becomes clear when using the tidytext package and reading the book about it.

So I wouldn't bother with such a complex setup here. Instead, I would convert the dictionary they are using (which is from here) into a data.frame and then use tidytext. Unfortunately, the dictionary is stored in XML format and I'm not very familiar with that, so the code looks a little hacky:

Source https://stackoverflow.com/questions/64119521

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

Vulnerabilities

No vulnerabilities reported

Install pattern.nlp

First install Python version 2.5+ (not version 3) and the pattern package (https://github.com/clips/pattern). Mark that the pattern package is released under the BSD license.