{"id":49582179,"url":"https://github.com/atchayaah/customer-feedback-emotion-analyzer","last_synced_at":"2026-05-03T20:43:05.580Z","repository":{"id":312523297,"uuid":"1047774086","full_name":"atchayaah/customer-feedback-emotion-analyzer","owner":"atchayaah","description":"AI-based web app that detects emotions from text using NLP and ML. 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This project leverages Natural Language Processing (NLP) and Machine Learning techniques to classify emotions from text input, helping businesses better understand customer sentiment.\n\n\n## 📝Features\n\n🔹 Detects emotions such as Happy, Sad, Angry, Neutral, Fear, Surprise, Disgust\n\n🔹 User-friendly web interface for real-time emotion detection\n\n🔹 Built with Machine Learning \u0026 NLP techniques\n\n🔹 Scalable for integration into e-commerce platforms, chatbots, and feedback systems\n\n\n## 📝Tech Stack\n\n**Frontend**: HTML\n\n**Backend**: Python (Flask / Streamlit)\n\n**Libraries \u0026 Tools**:\n\n    pandas, numpy – Data preprocessing\n\n    scikit-learn – ML models\n\n    nltk / spacy – NLP processing\n\n    Flask / Streamlit – Web app deployment\n\n   \n\n## 📝Deployment\n\nTo deploy this project run\n\n1️⃣ Clone the repository\ngit clone https://github.com/atchayaah/customer-feedback-emotion-analyser.git\n\ncd customer-feedback-emotion-analyser\n\n2️⃣ Create a virtual environment\n\npython -m venv venv\n\nsource venv/bin/activate   # On Mac/Linux\n\nvenv\\Scripts\\activate      # On Windows\n\n3️⃣ Install dependencies\n\npip install -r requirements.txt\n\n4️⃣ Run the application - \npython app.py\n\n\nThe app will be available at:\n👉 http://127.0.0.1:5000/\n\n\n## 📝 Model training \u0026 Use Case\n\n• Preprocess data (handle missing values, encode categorical variables, scale features)\n\n• Train machine learning models (Naive Bayes, Logistic Regression, or Neural Networks).\n\n• Save the trained model using Pickle/Joblib for deployment.\n\n**Use Cases**\n\n📌 E-commerce feedback analysis – Detect customer satisfaction trends.\n\n📌 Social media monitoring – Track public emotions on brands/events.\n\n📌 Chatbots \u0026 virtual assistants – Enhance emotional intelligence.\n\n## 📜License\n\nThe project was developed as part of the **IBM GEN AI ENGINEERING on Coursera**.  \n \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fatchayaah%2Fcustomer-feedback-emotion-analyzer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fatchayaah%2Fcustomer-feedback-emotion-analyzer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fatchayaah%2Fcustomer-feedback-emotion-analyzer/lists"}