Japanese Sentiment Analyzer implemented in Python
Project description
asari
Asari is a Japanese sentiment analyzer implemented in Python.
Demo
Photo by Andrew Buchanan on Unsplash
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
:
$ pip install asari
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
asari-0.0.4-py3-none-any.whl
(10.4 MB
view hashes)