| Name | SentiLEYE JSON |
| Version |
0.1
JSON |
| download |
| home_page | |
| Summary | A sentiment lexicon algorithm to classify pidgin English and English text into positive, negative or neutral |
| upload_time | 2023-06-29 22:12:50 |
| maintainer | |
| docs_url | None |
| author | Bayode Ogunleye |
| requires_python | |
| license | |
| keywords |
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| VCS |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
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| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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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
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"description": "Hello, you are welcome to SentiLEYE classifier\r\n\r\nA sentiment lexicon algorithm to classify pidgin English and English text into positive, negative or neutral\r\n\r\n\r\nTo 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'. \r\nThe system creates new column for score and class. You should expect the output as shown below. \r\n\r\n text score class\r\nthe bank is good 2 positive\r\n\r\n\r\n### How to use the packages\r\n\r\nfrom sentileye import result\r\n\r\n\r\n\r\n",
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