https://keishamodi.github.io/projects/twitteranalysis.html

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46              <h2 style="color:#12d640">10-K Sentiment Analysis</h2>
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48                <li><strong>Tech Stack</strong>: Python </li>
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52                <p>
53                This repository contains a data science project that investigates the relationship between the sentiment expressed in companies' 10-K filings and the variation in their stock returns around the filing dates, with a focus on S&P 500 companies. The analysis aims to provide insights into how the market perceives and reacts to the sentiment conveyed in these regulatory filings, particularly in the context of environmental sustainability, corporate governance, and technology.           
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