Sentiment Analyzer for Japanese Language
- stable version: https://github.com/sugiyamath/sentiment_ja/tree/0.0.1
- train your own model: https://github.com/sugiyamath/sentiment_ja_train
You can use make command.
git clone https://github.com/sugiyamath/sentiment_ja
cd sentiment_ja
make
or just simply this:
git clone https://github.com/sugiyamath/sentiment_ja
cd sentiment_ja
python setup.py install
Run ipython.
CUDA_VISIBLE_DEVICES=-1 ipython
and then, run this code:
from sentimentja import Analyzer
from pprint import pprint
analyzer = Analyzer()
pprint(analyzer.analyze([
"final fantasy 14 超楽しい",
"クソゲーはつまらん",
"エアリスが死んで悲しい",
"冒険の書が消える音こわい",
"廃人ゲーマーのスキルすごい",
"ケフカキモい"
]))[result]
[{'emotions': {'angry': 0.38450825,
'disgust': 0.34049153,
'fear': 0.21595812,
'happy': 0.9386289,
'sad': 0.34736797,
'surprise': 0.4474829},
'sentence': 'final fantasy 14 超楽しい'},
{'emotions': {'angry': 0.849911,
'disgust': 0.84053206,
'fear': 0.35027078,
'happy': 0.26533514,
'sad': 0.3436579,
'surprise': 0.2612424},
'sentence': 'クソゲーはつまらん'},
{'emotions': {'angry': 0.3113451,
'disgust': 0.51893616,
'fear': 0.64312303,
'happy': 0.049518317,
'sad': 0.89467585,
'surprise': 0.5028756},
'sentence': 'エアリスが死んで悲しい'},
{'emotions': {'angry': 0.38816807,
'disgust': 0.27659303,
'fear': 0.90935254,
'happy': 0.07564357,
'sad': 0.5684624,
'surprise': 0.51281214},
'sentence': '冒険の書が消える音こわい'},
{'emotions': {'angry': 0.3801153,
'disgust': 0.62795836,
'fear': 0.5906316,
'happy': 0.19693395,
'sad': 0.17561686,
'surprise': 0.89091665},
'sentence': '廃人ゲーマーのスキルすごい'},
{'emotions': {'angry': 0.6396977,
'disgust': 0.90158427,
'fear': 0.64611995,
'happy': 0.18225843,
'sad': 0.3184908,
'surprise': 0.37674865},
'sentence': 'ケフカキモい'}]