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
1 maintainer
Metadata
1 maintainer
Release files for Leye-classifer 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| Leye_classifer-0.0.3.tar.gz | 24.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Leye_classifer-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 30.1 kB
Release files / Leye_classifer-0.0.3.tar.gz
| Download URL | Leye_classifer-0.0.3.tar.gz |
|---|---|
| Size | 24.9 kB |
| Tags | Source |
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Release files / Leye_classifer-0.0.3-py3-none-any.whl
| Download URL | Leye_classifer-0.0.3-py3-none-any.whl |
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| Size | 5.2 kB |
| Tags | Python 3 |
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