Metadata-Version: 2.1
Name: liwc-text-analysis
Version: 1.0.2
Summary: A python package for the Linguistic Inquiry and Word Count (LIWC) dictionary.
Home-page: https://github.com/evanll/liwc-text-analysis-python
Author: Evan Lalopoulos
Author-email: evan.lalopoulos.2017@my.bristol.ac.uk
License: UNKNOWN
Description: [![Build Status](https://travis-ci.org/evanll/liwc-text-analysis-python.svg?branch=master)](https://travis-ci.org/evanll/liwc-text-analysis-python)
        
        # LIWC Text Analysis - Python
        A python package for the Linguistic Inquiry and Word Count (LIWC) dictionary. This package requires the proprietary LIWC dictionary file (.dic), that can be obtained from [LIWC.net](http://liwc.net/). 
        
        ## Usage
        ```python
        >>> from liwc import Liwc
        >>> liwc = Liwc(LIWC_FILEPATH)
        >>> # Search a word in the dictionary to find in which LIWC categories it belongs
        >>> print(liwc.search('happy'))
        ['affect', 'posemo']
        >>> # Extract raw counts of words in a document that fall into the various LIWC categories
        >>> print(liwc.parse('I love ice cream.'.split(' ')))
        Counter({'verb': 1, 'present': 1, 'affect': 1, 'posemo': 1, 'bio': 1, 'sexual': 1, 'social': 1})
        ```
        ## Tests
        The project comes with an extensive set of unit tests. The Pytest framework is used for unit testing. 
        To run the tests use:  
        `pytest`
        
        ## Project repository
        https://github.com/evanll/liwc-text-analysis-python
        
        ## Author
        Written by Evan Lalopoulos <evan.lalopoulos.2017@my.bristol.ac.uk>
        
        **Evan Lalopoulos** - [evanll](https://github.com/evanll)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
