Algorithmically predict public sentiment on a topic using VADER sentiment analysis
Project description
abraham
Algorithmically predict public sentiment on a topic using VADER sentiment analysis.
Sample Output
You can run one command to do everything -
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",
"johnson and johnson",
"bitcoin",
"dogecoin",
"biden",
"amazon"],
window=2, # how many days back from up_to to get news from
up_to="04/18/2021") # latest date to get news from
print(scores)
'''
{'robinhood':
{
'avg': 0.3798676562301132,
'nice': 'positive :)'
},
'johnson and johnson':
{
'avg': 0.27466788299009787,
'nice': 'positive :)'
},
'bitcoin':
{
'avg': 0.28669931035859125,
'nice': 'positive :)'
},
'dogecoin':
{
'avg': 0.2837840361036227,
'nice': 'positive :)'
},
'biden':
{
'avg': 0.2404157345348728,
'nice': 'positive :)'
},
'amazon':
{
'avg': 0.2894022880254384,
'nice': 'positive :)'
}
}
'''
Or, you can run it step by step, as well.
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
articles = darthvader.get_articles(["robinhood",
"johnson and johnson",
"bitcoin",
"dogecoin",
"biden",
"amazon"]
window=2, # how many days back from up_to to get news from
up_to="04/18/2021") # latest date to get news from
scores = darthvader.score_all(articles)
print(scores)
'''
{'robinhood':
{
'avg': 0.3798676562301132,
'nice': 'positive :)'
},
'johnson and johnson':
{
'avg': 0.27466788299009787,
'nice': 'positive :)'
},
'bitcoin':
{
'avg': 0.28669931035859125,
'nice': 'positive :)'
},
'dogecoin':
{
'avg': 0.2837840361036227,
'nice': 'positive :)'
},
'biden':
{
'avg': 0.2404157345348728,
'nice': 'positive :)'
},
'amazon':
{
'avg': 0.2894022880254384,
'nice': 'positive :)'
}
}
'''
Isaiah
supports two news sources: [Google News](google news) and NewsAPI. Default is [Google News](google news), but you can change it to NewsAPI by passing Isaiah(news_source='newsapi')
when instantiating. In order to use NewsAPI, you have to put your api key in keys/newsapi_org
.
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