py-corenlp | Python wrapper for Stanford CoreNLP | Natural Language Processing library

by smilli Python Version: Current License: No License

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kandi X-RAY | py-corenlp Summary

py-corenlp is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. py-corenlp has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install py-corenlp' or download it from GitHub, PyPI.

Python wrapper for Stanford CoreNLP

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Quality

Security

License

Reuse

Support

py-corenlp has a low active ecosystem.

It has 342 star(s) with 73 fork(s). There are 19 watchers for this library.

It had no major release in the last 6 months.

There are 17 open issues and 9 have been closed. On average issues are closed in 5 days. There are 8 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of py-corenlp is current.

Quality

py-corenlp has 0 bugs and 0 code smells.

Security

py-corenlp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

py-corenlp code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

py-corenlp 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

py-corenlp releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

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

Top functions reviewed by kandi - BETA

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

Returns a list of tokens that match the text
Perform a regex search
Annotate the given text with the given properties
Parse a regular expression

Get all kandi verified functions for this library.

py-corenlp Key Features

No Key Features are available at this moment for py-corenlp.

py-corenlp Examples and Code Snippets

No Code Snippets are available at this moment for py-corenlp.

Community Discussions

Trending Discussions on py-corenlp

Sentiment results are different between stanford nlp python package and the live demo

QUESTION

Sentiment results are different between stanford nlp python package and the live demo

Asked 2020-Jul-26 at 06:39

I try sentiment analysis of tweet text by both stanford nlp python package and the live demo, but the results are different. The result of the python package is positive while the result of the live demo is negative.

For python package, I download stanford-corenlp-4.0.0 and install py-corenlp, basically follow the instruction in this answer: Stanford nlp for python, the code is shown below:

...

ANSWER

Answered 2020-Jul-26 at 06:39

The old sentiment demo is probably running older code/older models, so that is why the results would be different. CoreNLP 4.0.0 should return POSITIVE for the entire sentence.

Source https://stackoverflow.com/questions/63095707

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

Vulnerabilities

No vulnerabilities reported

Install py-corenlp

You can install using 'pip install py-corenlp' or download it from GitHub, PyPI.
You can use py-corenlp like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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