Metadata-Version: 2.1
Name: Leye
Version: 0.0.1
Summary: A sentiment lexicon algorithm to classify pidgin English and English text into positive, negative or neutral
Home-page: https://github.com/batoog101/SentiLEYE.git
Author: Bayode Ogunleye
Author-email: batoog101@yahoo.com
License: UNKNOWN
Description: Hello, you are welcome to Leye classifier
        
        A sentiment lexicon algorithm to classify pidgin English and English text into positive, negative or neutral
        
        
        To use this system, you can enter raw text directly or enter your document name which should be in a csv file format (for example, data.csv). You need to name the column as 'text'. 
        The system creates new column for score and class.  You should expect the output as shown below. 
        
                    text     score     class
        the bank is good      2       positive
        
        
        ### How to use the packages
        
        pip install Leye
        
        from sentileye.polarity import result
        
        Follow the instructions, enter your csv filename (for example, data.csv) or your raw text directly to classify. 
        NB: filename - the csv file must be in your current working directory 
        
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
