A sentiment lexicon algorithm to classify pidgin English and English text into positive, negative or neutral
Reason this release was yanked:
not working
Project description
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file SentiLEYE-0.1-py3-none-any.whl
.
File metadata
- Download URL: SentiLEYE-0.1-py3-none-any.whl
- Upload date:
- Size: 25.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0515c19e04d3ab8ce2a78db0917c986ddfe8ae62081e9fa6ad45082a0756121a |
|
MD5 | 3dea86f7208f9c0c6807c86530e3b299 |
|
BLAKE2b-256 | 0ed9f29e9feff33afc6423f12927e6a0ec60387b3b0d0e534b4467c131eea9fd |