文件名称：abraham:使用VADER情绪分析从算法上预测公司的公众情绪
文件大小：5.56MB
文件格式：ZIP
更新时间：2024-05-08 16:25:09
Python
亚伯拉罕 使用VADER情绪分析，从算法上预测主题的公众情绪。 样本输出 您可以运行一个命令来完成所有操作- from prophets import Isaiah darthvader = Isaiah ( news_source = "google" , splitting = True ) # splitting means that it recursively splits a large text into sentences and analyzes each individually # this command takes a bit of time to run because it has to download lots of articles scores = darthvader . sentiment ([ "robinhood" ,
【文件预览】：
abraham-main
----models()
--------latest-model()
----.python-version(6B)
----dist()
--------abraham3k-1.0.0.tar.gz(2KB)
--------abraham_ckinateder-1.0.0-py3-none-any.whl(2KB)
--------abraham-ckinateder-1.0.0.tar.gz(2KB)
--------abraham-1.0.0.tar.gz(2KB)
--------abraham3k-1.0.0-py3-none-any.whl(2KB)
--------abraham-1.0.0-py3-none-any.whl(2KB)
----src()
--------salt.ipynb(11KB)
--------gnews.py(2KB)
--------prophets.py(6KB)
--------salt.py(8KB)
--------__init__.py(36B)
--------word-embeddings.ipynb(576B)
--------abraham3k.egg-info()
--------newsapi.py(3KB)
----requirements.txt(789B)
----setup.py(861B)
----.gitignore(69B)
----keys()
--------newsapi_org(32B)
----README.md(3KB)