Inspiration
We decided to do sentiment analysis because neither me or my partner have neither done anything todo with it, and so we sought out to to find a dataset to do are project on. Eventually settling on a twitter dataset of people talking about stocks. link
What it does
This project will take a user input and use that input to search across the dataset for tweets with the stock keyword. and performs sentiment analysis on it to determine weather over the course of a certain period of time if that stock is doing good or bad by showing that with a bar graph.
How we built it
The project was written in Python and using the pandas and matplotlib libraries to better control are dataset and to display are results. with the main brains behind this sentiment analysis being the vaderSentiment model from
Challenges we ran into
One of the bigger challenges we ran into was surprising getting the graph to work the way we wanted to. along with some slight clearing of dataset due to the way it is formatted
Accomplishments that we're proud of
Id say for what it is, that it is a great start to a much bigger project allowing us to eventually use the time of day to provide further accuracy. along with plotting it against the stocks price
What's next for Sentiment Analysis of stock twitter
The next step for this project would be to develop a front end and along with providing more features for better accuracy.
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