Sentiment_Analysis

Analysis Project

📌 Project Overview

This is ongoing project focused on analyzing IMDB dataset using various data analysis techniques. It involves data preprocessing, visualization, and extracting meaningful insights to drive data-driven decisions.

🔍 Key Features

1. Data Cleaning & Preprocessing: Handling missing values, outlier detection, and data transformation.

2. Exploratory Data Analysis (EDA): Visualizing trends and patterns using Matplotlib/Seaborn.

3. Statistical & Sentiment Analysis: Applying statistical techniques and sentiment analysis.

4. Machine Learning Models (Optional): Implementing predictive models for deeper insights.

🛠 Tech Stack:-

--->Programming Language: Python

--->Libraries Used: Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn

🚀 How to Run:-

1. Clone the repository:

   git clone https://github.com/Pratham-2512/Sentimental_Analysis

2. Install dependencies:

   pip install -r requirements.txt

3. Run the analysis script:

   python analysis.py

📊 Results & Insights:-

The findings of this analysis provide valuable insights. Check the Results folder for detailed reports and visualizations.