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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.