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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