Metadata-Version: 2.1
Name: Leye-classifer
Version: 0.0.3
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 SentiLeye sentiment 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 (for example, data.csv). Kindly ensure your document is in csv file format.
        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 
        
        from  sentileye import polarity
        ## then
        polarity.result()
        
        Follow the instructions, enter your csv filename (for example, data.csv) or your raw text directly to classify. 
        
        NB: filename - your 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
Requires-Python: >=3.7
Description-Content-Type: text/markdown
