This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Reason given by maintainers: not working
Hello, you are welcome to SentiLEYE 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 or your document 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
from sentileye import result
1 maintainer
Metadata
1 maintainer
Release files for SentiLEYE 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| SentiLEYE-0.1-py3-none-any.whl | Python 3 | none | any | Details |
Release files / SentiLEYE-0.1-py3-none-any.whl
| Download URL | SentiLEYE-0.1-py3-none-any.whl |
|---|---|
| Size | 25.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
0515c19e04d3ab8ce2a78db0917c986ddfe8ae62081e9fa6ad45082a0756121a
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BLAKE2b-256 checksum How to use checksums |
0ed9f29e9feff33afc6423f12927e6a0ec60387b3b0d0e534b4467c131eea9fd
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
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