Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/chanmeng666/customer-insight
A Python-based customer review analysis system with sentiment analysis, topic modeling, and interactive visualization capabilities, optimized for Chinese language reviews.
https://github.com/chanmeng666/customer-insight
chinese-nlp customer-insights data-visualization review-analysis sentiment-analysis streamlit text-analysis topic-modeling
Last synced: 8 days ago
JSON representation
A Python-based customer review analysis system with sentiment analysis, topic modeling, and interactive visualization capabilities, optimized for Chinese language reviews.
- Host: GitHub
- URL: https://github.com/chanmeng666/customer-insight
- Owner: ChanMeng666
- License: apache-2.0
- Created: 2024-11-20T13:16:29.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2024-12-07T13:01:06.000Z (27 days ago)
- Last Synced: 2024-12-07T14:17:15.161Z (27 days ago)
- Topics: chinese-nlp, customer-insights, data-visualization, review-analysis, sentiment-analysis, streamlit, text-analysis, topic-modeling
- Language: Python
- Homepage: https://chanmeng666-customerinsight-app-oeiu2h.streamlit.app/
- Size: 238 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
CustomerInsight
Comprehensive Customer Review Analysis System
# Features
🎯 **Comprehensive Analysis Tools**
- Sentiment Analysis with confidence scoring
- Keyword extraction and trend tracking
- Topic modeling and clustering
- Anomaly detection and deep insights
📊 **Interactive Visualization**
- Real-time data filtering and exploration
- Custom visualization options
- Dynamic trend analysis
- Comparative analytics
🌐 **Multi-language Support**
- Optimized for Chinese text
- English language compatibility
- Bilingual analysis capabilities
⚡ **Performance & Scalability**
- Efficient data processing
- Batch analysis support
- Caching for improved performance
- Error handling and validation
# Getting Started
## Prerequisites
- Python 3.7+
- Required packages:
```bash
pip install -r requirements.txt
```
## Installation
1. Clone the repository:
```bash
git clone https://github.com/ChanMeng666/customer-insight.git
cd customer-insight
```
2. Install dependencies:
```bash
pip install -r requirements.txt
```
3. Set up environment:
```bash
python setup.py install
```
## Usage
Run the Streamlit application:
```bash
streamlit run app.py
```
The application will be available at http://localhost:8501
# Technical Stack
📚 **Core Technologies**
- **Frontend**: Streamlit
- **Data Processing**: Pandas, NumPy
- **Text Analysis**:
- Jieba (Chinese word segmentation)
- Transformers (sentiment analysis)
- scikit-learn (topic modeling)
- **Visualization**: Plotly, Matplotlib
- **Machine Learning**: scikit-learn
# Features in Detail
## Text Analysis
- **Sentiment Analysis**: Evaluate emotional tone of reviews
- **Keyword Extraction**: Identify key terms and phrases
- **Topic Modeling**: Discover underlying themes
- **Anomaly Detection**: Flag unusual patterns
## Visualization
- Interactive time series plots
- Sentiment distribution charts
- Keyword clouds and trends
- Topic distribution maps
## Data Processing
- Flexible data import (CSV, Excel)
- Advanced filtering options
- Text preprocessing
- Statistical analysis
# Contributing
Contributions are welcome! Please feel free to submit pull requests.
# License
This project is licensed under the [Apache-2.0 license](LICENSE) - see the LICENSE file for details.
# Author
- **Chan Meng**
- LinkedIn: [chanmeng666](https://www.linkedin.com/in/chanmeng666/)
- GitHub: [ChanMeng666](https://github.com/ChanMeng666)
# Acknowledgments
- Thanks to all contributors who participated in this project
- Special thanks to the open source communities of Streamlit, Jieba, and other libraries used in this project