Gain Insights into Financial Markets with Sentiment Analysis! π
This project is your gateway to a deeper understanding of financial trends and sentiments using state-of-the-art techniques. Dive into the financial world, perform sentiment analysis, and gain valuable insights. πΉ
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π Web Scraping: Utilized Beautiful Soup to scrape financial articles from Financial Express, tapping into a wealth of financial data.
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π Transformers: Leveraged the power of Hugging Face's transformers, including:
bart-large-cnn
for Text Summarization π°finbert-tone
for Sentiment Analysisbert-base-NER
for Named Entity Recognition π
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π Stock Analysis: Explored the Yahoo Ticker list dataset to analyze stocks and uncover correlations between scraped articles and related companies.
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π§ Forecasting Model: Developed a forecasting model by correlating sentiments with related companies, unlocking predictive capabilities.
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π Data Visualization: Created visually engaging graphs using Plotly to represent your findings.
- Install the required packages using
pip install -r requirements.txt
. π οΈ
- Run the web scraping script to gather financial data.
- Utilize transformers for sentiment analysis and named entity recognition.
- Analyze stock data using the Yahoo Ticker list dataset.
- Build your forecasting model.
- Visualize your insights with Plotly.
- J.KANISHKHA π
This project is licensed under the MIT License. See the LICENSE file for details. π
Have questions or suggestions? Feel free to reach out! π¬