Metadata-Version: 2.1
Name: semanticscholar
Version: 0.1.4
Summary: A python library that aims to retrieve data from Semantic Scholar API
Home-page: http://danielnsilva.com/semanticscholar
Author: Daniel Silva
Author-email: danielnsilva@gmail.com
License: MIT
Description: # semanticscholar
        
        [![Latest version](https://img.shields.io/pypi/v/semanticscholar)](https://pypi.org/project/semanticscholar)
        [![GitHub license](https://img.shields.io/github/license/danielnsilva/semanticscholar)](https://github.com/danielnsilva/semanticscholar/blob/master/LICENSE)
        
        A python library that aims to retrieve data from [Semantic Scholar API](https://api.semanticscholar.org/).
        
        # How to install
        ```
        pip install semanticscholar
        ```
        
        # Usage
        Programmatically access paper and author data.
        
        ## Paper Lookup
        To access paper data:
        ```python
        >>> import semanticscholar as sch
        >>> paper = sch.paper('10.1093/mind/lix.236.433')
        >>> paper.keys()
        dict_keys(['abstract', 'arxivId', 'authors', 'citationVelocity', 'citations', 'doi',
        'influentialCitationCount', 'paperId', 'references', 'title', 'topics', 'url', 'venue', 'year'])
        >>> paper['title']
        'Computing Machinery and Intelligence'
        >>> for author in paper['authors']:
        ...     print(author['name'])
        ...     print(author['authorId'])
        ...
        Alan M. Turing
        2262347
        ```
        
        ## Author Lookup
        To access author data:
        ```python
        >>> import semanticscholar as sch
        >>> author = sch.author(2262347)
        >>> author.keys()
        dict_keys(['aliases', 'authorId', 'citationVelocity', 'influentialCitationCount', 'name', 'papers', 'url'])
        >>> author['name']
        'Alan M. Turing'
        >>> len(author['papers'])
        77
        ```
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
