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This project aims use machine learning classifying algorithms to identify if tweet sentiment, along with other tweet data, from tweets made by the CEO of a company can be used to classify positive or negative stock movement of that company.

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simmonsj330/tweet-sentiment-stock-analysis

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Tweet Sentiment Stock Analysis

This project aims to analyze tweet data from a given public company CEO and use machine learning algorithms to classify positive or negative stock price movement based on this data. Additionally we would like to determine if the sentiment of a tweet has any major effect on the classification.

This project utilzes Twitter API to pull tweet data and Yahoo's yfinace to pull stock data.

Requirements

pip3 install -r requirements.txt

Usage

python3 analysis2.py

About

This project aims use machine learning classifying algorithms to identify if tweet sentiment, along with other tweet data, from tweets made by the CEO of a company can be used to classify positive or negative stock movement of that company.

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