ExtractDataset | Extract Dataset Metadata from Literatures

by jinfengr Python Version: Current License: No License

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kandi X-RAY | ExtractDataset Summary

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

Extract Dataset Metadata from Literatures. PaperToText.py: convert pdf to txt, and tokenize converted texts. Position.py: extract dataset description texts from article refined texts. ExtractWords.py: generate word-freq map, and sort in desc order. BuildFeatures.py: get top-500 words as features, each word has two entry: freq and avg dist. Thus, there are total 1000 features for each dataset. Then generate a feature vector for each dataset name. For each sentence contains dataset, consider it with its next sentence as context to extract features to avoid sparsity.

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ExtractDataset has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ExtractDataset is current.

Quality

ExtractDataset has no bugs reported.

Security

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

License

ExtractDataset 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

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

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

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ExtractDataset Key Features

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ExtractDataset Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install ExtractDataset

You can download it from GitHub.
You can use ExtractDataset 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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