💬 AI Echo – Sentiment Analysis Web App

AI Echo is an NLP-powered Sentiment Analysis System that classifies user reviews or text inputs into Positive 😊, Negative 😠, or Neutral 😐 sentiments. The project uses Machine Learning and Natural Language Processing (NLP) to analyze textual data, extract features, and visualize insights interactively through Streamlit.

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🔧 Tech Stack

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📁 Project Structure

📂 Sentiment-Analysis-AI-Echo
│
├── 📁 app/                         # Streamlit app files
│   └── streamlit_app.py
│
├── 📁 dataset/                     # Data used for EDA and modeling
│   ├── cleaned_senti_mapped_data.csv       # Cleaned + sentiment mapped data (TextBlob)
│   ├── filtered_data_for_model.csv         # Review & sentiment data for model building
│   └── raw_data.csv                        # Raw review data
│
├── 📁 model/                       # Trained ML models
│   └── sentiment_model.pkl
│
├── 📁 notebook/                    # Jupyter/Colab notebooks for EDA and model building
│   └── Sentiment_Analysis.ipynb
│
├── requirements.txt                # Python dependencies
├── .gitignore                      # Ignored files for Git
├── LICENSE                         # Open-source license
└── README.md                       # Project documentation

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📷 App Screenshots

📄 Overview

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📊 EDA Charts

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⚖️ Sentiment Prediction

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🚀 How to Run

1️⃣ Clone the repository

git clone https://github.com/Infant-Joshva/Project_5-AI-Echo.git
cd Project_5-AI-Echo

2️⃣ Install dependencies

pip install -r requirements.txt

3️⃣ Run the Streamlit app

streamlit run app/main.py

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📊 Features

• 🧹 Text Preprocessing (Tokenization, stopword removal, lemmatization using NLTK)
• 🔠 Feature Extraction (TF-IDF Vectorization)
• 🧮 Model Training (Naïve Bayes, Logistic Regression, Random Forest)
• 💬 Live Prediction Interface (User inputs text → Sentiment with emoji & probability)
• 📈 EDA Visuals (Word clouds, sentiment distribution charts)
• ⚡ Streamlit Dashboard for interactive analysis

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👤 Author

Infant Joshva
📧 [email protected]
🐙 GitHub
🔗 LinkedIn

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⭐ Give a Star!

If you like this project, please ⭐ the repo — it motivates me to build more! 🚀

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📜 License

This project is licensed under the MIT License – see the LICENSE file for details.