Leye-classifer-v2

A sentiment lexicon algorithm to classify pidgin English and English text into positive, negative or neutral

0.0.2

PyPI

Maintainers: 1

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

Keywords

sentiment analysis

pidgin

bank

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