ArguminSci | Analyze Argumentation and Rhetorical Aspects

by anlausch Python Version: Current License: MIT

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

kandi X-RAY | ArguminSci Summary

ArguminSci is a Python library typically used in Manufacturing, Utilities, Machinery, Process applications. ArguminSci has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Analyze Argumentation and other Rhetorical Aspects in Scientific Writing. Here you can find the code necessary to deploy ArguminSci. A detailed description of the tool can be found in the accompanying publication [1].

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Quality

Security

License

Reuse

Support

ArguminSci has a low active ecosystem.

It has 17 star(s) with 6 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

ArguminSci has no issues reported. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ArguminSci is current.

Quality

ArguminSci has 0 bugs and 0 code smells.

Security

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

ArguminSci code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ArguminSci is licensed under the MIT License. This license is Permissive.

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

Reuse

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

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

Provide prediction
Assign spans to the result
Prepare sentence labeling text
Return punctuation
Return True if token is a number
Token start of span
Assigns the given prediction text
Predict from text
Assign style classes to style classes
Replace punctuation and numbers
Load data from multiple files
Transform a list of sentences to a model input
Parse all CONLL files in the given path
Parse all CONLL files in the given directory
Parse a CoNLL file
Preprocess a list of strings
Preprocess a string
Transform sentences to model inputs
Loads data from Conllll files

Get all kandi verified functions for this library.

ArguminSci Key Features

No Key Features are available at this moment for ArguminSci.

ArguminSci Examples and Code Snippets

No Code Snippets are available at this moment for ArguminSci.

Community Discussions

No Community Discussions are available at this moment for ArguminSci.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install ArguminSci

You can download it from GitHub.
You can use ArguminSci 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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