LocaText Insights is a project that focuses on text classification based on location and interests. The project uses data visualization techniques to provide users with valuable insights into textual patterns and geographical distribution of interests.
LocaText Insights combines the power of text classification and geographical visualization to offer a comprehensive view of user interests based on their location. The project includes three main sections: Main Dashboard, Interest Drill Down, and Experiment Result, each providing unique insights into the dataset.
- Main Dashboard: Holistic view of overall data with geographical insights, word cloud, and bar chart.
- Interest Drill Down: Exploration of user interests with heatmap, bar chart, pie chart, and dedicated interest pages.
- Experiment Result: In-depth analysis of machine learning classifiers' performance with precision, recall, and f1-score metrics.
To run LocaText Insights locally, follow these steps:
- Clone the repository:
git clone https://github.com/izzhamburhan/LocaText-Insights.git - Navigate to the project directory:
cd LocaText-Insights - Open the
index.htmlfile in your web browser.
- Choose the desired section from the navigation bar (Dashboard, Chatbot, User Support, User Feedback).
- Explore the visualizations and insights provided in each section.
- Power BI Embed Script
- OpenAI GPT-3 API
Feel free to contribute to the development of LocaText Insights. If you find any issues or have suggestions, please create a new issue or submit a pull request.
This project is licensed under the MIT License.