📊 Instagram Sentiment Analysis Dashboard

A powerful web application to analyze sentiment and engagement levels of Instagram posts using VADER sentiment analysis, interactive visualizations, and hashtag analysis.

---

📌 Project Overview

Objective
Analyze Instagram posts based on user interactions (likes, comments) and post content. The dashboard visualizes sentiment and engagement metrics to help optimize content strategy.

Key Features

• Sentiment analysis using NLTK's VADER (handles emojis, slang).
• Visualize sentiment trends, engagement metrics, and hashtag analysis using Plotly.
• User selection to analyze Instagram posts based on username.
• Real-time interactive visualizations in the dashboard.

---

📂 Project Structure

📦 root
├── templates
│   ├── error.html          # Shown when no data is found
│   ├── index.html          # Homepage (user selects username)
│   └── results.html        # Displays sentiment analysis results
├── README.md               # Project documentation
├── app.py                  # Flask backend handling routes and analysis
├── post_data.csv           # Dataset with Instagram post data
└── requirements.txt        # Project dependencies

---

🧠 How It Works

1️⃣ Backend (Flask - app.py)

• Reads post_data.csv and loads Instagram post data.
• Allows username selection through a form.
• Preprocesses post content for sentiment analysis.
• Analyzes sentiments (Positive, Negative, Neutral) using VADER.
• Extracts hashtags and counts their usage.
• Generates interactive visualizations using Plotly.
• Renders HTML templates (results.html or error.html).

2️⃣ Frontend (HTML Templates)

• index.html: User selects Instagram username for analysis.
• results.html: Shows visualizations:
  • Pie Chart for sentiment distribution
  • Time Series Chart for sentiment trends
  • Bar Chart for sentiment count
  • Detailed Hover Line Plot for trends
  • Interactions Chart for likes/comments
  • Hashtag Analysis and frequencies
• error.html: Displays if no data available for username.

---

📊 Visualizations Powered by Plotly

• Pie Chart: Positive, Negative, Neutral distribution.
• Time Series Line Chart: Sentiment over time.
• Bar Chart: Sentiment counts.
• Detailed Line Plot: Interactive hover insights.
• Interactions Chart: Likes vs Comments.
• Hashtag Frequency: Popular hashtags used in posts.

---

📌 Installation

Clone the repository

git clone <your-repo-link>
cd instagram-sentiment-analysis

Install dependencies

pip install -r requirements.txt

Run the Flask App

python app.py

Access on:

https://instagram-sentiment-analysis-dashboard.onrender.com/

---

📈 Technology Stack

• Backend: Python, Flask, Pandas, NLTK (VADER)
• Frontend: HTML, CSS (Bootstrap), JavaScript (Plotly)
• Data Storage: CSV (Instagram post data)

---

🚀 Future Enhancements

• Add user login and history saving.
• More advanced NLP models for sentiment analysis.
• Deployment on cloud (Heroku/Render).
• Improve visualizations with advanced UI/UX.

---