After High school Stock market is something that makes students crazy because after this age, teens become crazy their own money because it gives them some adrenaline rush
What it does
This project analyses various news regarding desired companies and tries to identify the sentiment after the news statements.
How we built it
We build it using Python and nltk.sentiment.vader and SentimentIntensityAnalyzer.
Challenges we ran into
We encountered errors while scaling the graph
Accomplishments that we're proud of
We learned how ai could analyze human-made news sentiments and human sentiments.
What's next for Sentimental Analysis of stock news
We will be working on making it more big and complex with more advanced features and providing free assistance to teens and adults regarding stock market news and stock predictions.
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