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Analyze news articles, financial reports to gauge market sentiment. This project would involve natural language processing (NLP) techniques to understand how sentiment affects stock prices.

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EthanFalcao/Sentiment-Analysis-in-Financial-Markets

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Plots (report)
Plots (report)
 
 
data
data
 
 
1. Data Preprocessings.ipynb
1. Data Preprocessings.ipynb
 
 
10. Model_development_Excluding Sentiment.ipynb
10. Model_development_Excluding Sentiment.ipynb
 
 
2. (CNBC_Text) - Exploratory Data Analysis.ipynb
2. (CNBC_Text) - Exploratory Data Analysis.ipynb
 
 
3. (Stocks) - Exploratory Data Analysis.ipynb
3. (Stocks) - Exploratory Data Analysis.ipynb
 
 
3. (msft) - Exploratory Data Analysis.ipynb
3. (msft) - Exploratory Data Analysis.ipynb
 
 
4. Sentiment_Analysis.ipynb
4. Sentiment_Analysis.ipynb
 
 
5. merge_datasets.ipynb
5. merge_datasets.ipynb
 
 
6. merge_eda.ipynb
6. merge_eda.ipynb
 
 
7. feature_engineer.ipynb
7. feature_engineer.ipynb
 
 
8. Feature Selection.ipynb
8. Feature Selection.ipynb
 
 
9. Model_development.ipynb
9. Model_development.ipynb
 
 
How_do_Financial_Articles_Affect_Stock_Market_Returns.pdf
How_do_Financial_Articles_Affect_Stock_Market_Returns.pdf
 
 
README.md
README.md
 
 

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Sentiment Analysis in Financial Markets

Overview

This project utilizes Natural Language Processing (NLP) techniques to analyze sentiments in financial markets through news articles, financial reports, and social media to understand the impact on stock prices and market trends.

Prerequisites

  • Python 3.6 or higher
  • Pip

Usage

To use this project:

  1. Execute data collection scripts in the data_collection folder.
  2. Run data preprocessing scripts in the data_preprocessing folder.
  3. Perform sentiment analysis by running the sentiment_analysis.py script.

Built With

  • Python - The core programming language used.
  • Pandas - The library used for data manipulation and analysis.
  • BERT - Used for processing textual data.

Project Status

Ongoing

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Analyze news articles, financial reports to gauge market sentiment. This project would involve natural language processing (NLP) techniques to understand how sentiment affects stock prices.

Topics

nlp sentiment stocks bert cnbc

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