begin_anew | help create the Affective Norms

by sbma44 Python Version: Current License: No License

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kandi X-RAY | begin_anew Summary

begin_anew is a Python library. begin_anew has no bugs, it has no vulnerabilities and it has low support. However begin_anew build file is not available. You can download it from GitHub.

This collection of scripts is designed to facilitate the creation of a usable copy of the Affective norms for English words (ANEW) dataset. ANEW is offered for free by its creators, but only to other researchers. They won’t even give it to students. I think this is pretty lame. Fortunately, their 1999 paper on ANEW contains all the information necessary to generate the dataset, and it is widely and freely available as a PDF. These scripts automate the process of converting that PDF into a CSV file, which can be easily used by various automated tools. It’s likely that ANEW has been modified, expanded and improved since 1999. It would be nice if its authors were more forthcoming with it.

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Quality

Security

License

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Support

begin_anew has a low active ecosystem.

It has 24 star(s) with 7 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

begin_anew has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of begin_anew is current.

Quality

begin_anew has 0 bugs and 0 code smells.

Security

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

begin_anew code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

begin_anew 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

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

begin_anew has no build file. You will be need to create the build yourself to build the component from source.

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

begin_anew saves you 17 person hours of effort in developing the same functionality from scratch.

It has 48 lines of code, 1 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Parse CSV file .

Get all kandi verified functions for this library.

begin_anew Key Features

No Key Features are available at this moment for begin_anew.

begin_anew Examples and Code Snippets

No Code Snippets are available at this moment for begin_anew.

Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install begin_anew

You can download it from GitHub.
You can use begin_anew 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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