asari
Asari is a Japanese sentiment analyzer implemented in Python.
Usage
Behold, the power of asari:
from asari.api import Sonar
sonar = Sonar()
sonar.ping(text="広告多すぎる♡")
{
"text" : "広告多すぎる♡",
"top_class" : "negative",
"classes" : [ {
"class_name" : "positive",
"confidence" : 0.09130180181262026
}, {
"class_name" : "negative",
"confidence" : 0.9086981981873797
} ]
}
Asari allows you to classify text into positive/negative class, without the need for training. You have only to fed text into asari.
Installation
To install asari, simply use pip with Python 3.8+:
pip install asari
1 maintainer
Release files for asari 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| asari-0.2.0.tar.gz | 10.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| asari-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.8 MB
Release files / asari-0.2.0.tar.gz
| Download URL | asari-0.2.0.tar.gz |
|---|---|
| Size | 10.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.15
|
Release files / asari-0.2.0-py3-none-any.whl
| Download URL | asari-0.2.0-py3-none-any.whl |
|---|---|
| Size | 10.4 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.15
|
