Skip to main content

Japanese Sentiment Analyzer implemented in Python

Project description


Asari is a Japanese sentiment analyzer implemented in Python.


Photo by Andrew Buchanan on Unsplash

Behold, the power of asari:

>>> from asari.api import Sonar
>>> sonar = Sonar()
  "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.


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.

Built Distribution

asari-0.0.4-py3-none-any.whl (10.4 MB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page