本文整理汇总了Python中alchemyapi.AlchemyAPI.emotion方法的典型用法代码示例。如果您正苦于以下问题:Python AlchemyAPI.emotion方法的具体用法?Python AlchemyAPI.emotion怎么用?Python AlchemyAPI.emotion使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类alchemyapi.AlchemyAPI
的用法示例。
在下文中一共展示了AlchemyAPI.emotion方法的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: AlchemyAPI
# 需要导入模块: from alchemyapi import AlchemyAPI [as 别名]
# 或者: from alchemyapi.AlchemyAPI import emotion [as 别名]
import json
from alchemyapi import AlchemyAPI
demo_text = "I'm not feeling very happy...my dog died today, and I lost my job. I'm going to shut myself off from reality. I went to Geneva with my iPython"
# Create the AlchemyAPI Object
alchemyapi = AlchemyAPI()
print '\n\nEmotion, analysis'
response = alchemyapi.emotion('text', demo_text)
print '\n\n', json.dumps(response['docEmotions'], indent=4)
print '\n\nEntity analysis'
response = alchemyapi.entities('text', demo_text, {'sentiment': 1})
print '\n\n', json.dumps(response['entities'], indent=4)
print '\n\nKeyword analysis'
response = alchemyapi.keywords('text', demo_text, {'sentiment': 1})
print '\n\n', json.dumps(response['keywords'], indent=4)
print '\n\nSentiment analysis'
response = alchemyapi.sentiment('text', demo_text)
print '\n\n', json.dumps(response['docSentiment'], indent=4)
print '\n\nConcepts analysis'