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
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
asari-0.2.0.tar.gz
(10.3 MB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
asari-0.2.0-py3-none-any.whl
(10.4 MB
view details)
File details
Details for the file asari-0.2.0.tar.gz.
File metadata
- Download URL: asari-0.2.0.tar.gz
- Upload date:
- Size: 10.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bf0a95b4d2547db5f79ca2da3c40d5cd0b046ca93c999609e7e5f690510e9da8
|
|
| MD5 |
123f256589adbcaaf2af32fd6d018b33
|
|
| BLAKE2b-256 |
6311c8382985c4d6460262df2803238f52a5990e800a70d543e6536411885340
|
File details
Details for the file asari-0.2.0-py3-none-any.whl.
File metadata
- Download URL: asari-0.2.0-py3-none-any.whl
- Upload date:
- Size: 10.4 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8c234677bac407a877095b8bd0cfc364cdbc73dacb75949b29fce85562248ac7
|
|
| MD5 |
59caffc71f81256fea82ae6b4b2ea3aa
|
|
| BLAKE2b-256 |
12fb9d577d65966d5462bf8f8ba07ee5f2d79cf785d5e083b7461997fe356bbb
|