A sentiment lexicon algorithm to classify pidgin English and English text into positive, negative or neutral
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
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
FAQs
A sentiment lexicon algorithm to classify pidgin English and English text into positive, negative or neutral
We found that Leye-classifer-v2 demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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