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https://github.com/sachnaror/ai-customer-support-analyzer-nlp

Transform customer support data into actionable insights with our AI-powered analyzer! Built with Python, Streamlit & One AI API, it extracts summaries, emotions, sentiment, & topics from conversations. Easy to use, visually engaging, & perfect for support teams! πŸš€πŸ“Š
https://github.com/sachnaror/ai-customer-support-analyzer-nlp

nlp-keywords-extraction nlp-machine-learning nlp-parsing streamlit

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Transform customer support data into actionable insights with our AI-powered analyzer! Built with Python, Streamlit & One AI API, it extracts summaries, emotions, sentiment, & topics from conversations. Easy to use, visually engaging, & perfect for support teams! πŸš€πŸ“Š

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README

        

# 🧠 One AI-Powered Customer Support Analyzer πŸš€

## Detailed overview :

https://medium.com/@schnaror/unlock-business-value-hidden-in-customer-support-conversations-with-ai-1d868330327c

Welcome to the **One AI-Powered Customer Support Analyzer**!
Transform boring customer support data into **actionable insights** with the power of **AI**, **Streamlit**, and a sprinkle of Python magic.
Let’s make analyzing conversations **efficient, fun, and smart**β€”because why should data be dull?

---

## πŸ’‘ What Does This App Do?
This app uses **One AI's API** to analyze customer support conversations, extracting meaningful insights such as:
- ✨ **Summaries**: Get concise overviews of lengthy conversations.
- πŸ” **Named Entity Recognition**: Detect names, dates, and key information.
- 🎭 **Emotion Detection**: Discover the emotional tone in conversations.
- πŸ“ˆ **Sentiment Analysis**: Determine if customer interactions are positive, neutral, or negative.
- πŸ—‚οΈ **Topic Detection**: Identify recurring themes and topics in customer communications.

---

## πŸ› οΈ Features
- **AI-Powered Intelligence**: Leverage One AI to make sense of unstructured data.
- **Beautiful Streamlit UI**: Simple, intuitive, and visually appealing interface.
- **Customizable Insights**: Choose from multiple intelligence features to meet your needs.
- **Real-World Scenarios**: Analyze audio transcripts, email trails, and chat logs.

---

## 🧰 Prerequisites
To run the app, make sure you have the following:
1. **Python** (3.8 or higher)
2. **Streamlit** (Install via `pip install streamlit`)
3. **One AI API Key** (Get yours [here](https://www.oneai.com))

---

## πŸš€ How to Run the App
1. Clone this repository:
```bash
git clone https://github.com/sachnaror/AI-Customer-Support-Analyzer-NLP.git
cd AI-Customer-Support-Analyzer-NLP

AI-Powered Customer Support Analyzer