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dagiteferi authored Dec 11, 2024
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# Financial News Sentiment and Stock Market Correlation Analysis - Task 1

This branch focuses on **Task 1: Exploratory Data Analysis (EDA)**, where we perform initial analysis on the financial news dataset to uncover insights and set the foundation for further analysis.

## Table of Contents

1. [Project Overview](#project-overview)
2. [Business Objective](#business-objective)
3. [Dataset Overview](#dataset-overview)
4. [Task 1 Overview](#task-1-overview)
5. [Installation](#installation)
6. [Usage](#usage)
7. [Contributing](#contributing)
8. [License](#license)
9. [Acknowledgements](#acknowledgements)

## Project Overview

This project focuses on analyzing a large corpus of financial news data to discover correlations between news sentiment and stock market movements. It encompasses data engineering, financial analytics, and machine learning engineering to enhance predictive analytics capabilities at Nova Financial Solutions.

## Business Objective

Nova Financial Solutions aims to enhance its predictive analytics capabilities to significantly boost its financial forecasting accuracy and operational efficiency through advanced data analysis. This involves:
- Performing sentiment analysis on financial news headlines.
- Establishing statistical correlations between sentiment scores and stock price movements.
- Providing actionable insights and investment strategies based on the analysis.

## Dataset Overview

The Financial News and Stock Price Integration Dataset (FNSPID) contains:
- **headline**: Title of the news article.
- **url**: Direct link to the full news article.
- **publisher**: Author/creator of the article.
- **date**: Publication date and time.
- **stock**: Stock ticker symbol.

## Task 1 Overview

### Task 1: Exploratory Data Analysis (EDA)

- **Descriptive Statistics**: Calculate basic statistics such as headline length, article counts per publisher, and publication dates.
- **Text Analysis**: Perform sentiment analysis on headlines and identify common keywords or phrases.
- **Time Series Analysis**: Analyze the frequency of article publication over time and identify trends.
- **Publisher Analysis**: Identify top publishers and analyze their reporting patterns.

### Deliverables for Task 1:

- **EDA Report**: Summary of initial findings and insights from the exploratory data analysis.


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