Japanese Sentiment Analyzer implemented in Python
Project description
# asari
Asari is a Japanese sentiment analyzer implemented in Python.
![Image](./docs/asari.jpg)
Photo by [Andrew Buchanan](https://unsplash.com/@photoart2018) on [Unsplash](https://unsplash.com/)
Behold, the power of asari:
```python
>>> from asari import Sonar
>>> sonar = Sonar()
>>> sonar.ping(text="いい感じです!")
{
"text" : "いい感じです!",
"top_class" : "positive",
"classes" : [ {
"class_name" : "positive",
"confidence" : 0.9965442572893405
}, {
"class_name" : "negative",
"confidence" : 0.003455742710659515
} ]
}
```
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`:
```bash
$ pip install asari
```
Asari is a Japanese sentiment analyzer implemented in Python.
![Image](./docs/asari.jpg)
Photo by [Andrew Buchanan](https://unsplash.com/@photoart2018) on [Unsplash](https://unsplash.com/)
Behold, the power of asari:
```python
>>> from asari import Sonar
>>> sonar = Sonar()
>>> sonar.ping(text="いい感じです!")
{
"text" : "いい感じです!",
"top_class" : "positive",
"classes" : [ {
"class_name" : "positive",
"confidence" : 0.9965442572893405
}, {
"class_name" : "negative",
"confidence" : 0.003455742710659515
} ]
}
```
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`:
```bash
$ pip install asari
```
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