Tech Insights Analyzer

Welcome to the Tech Insights Analyzer repository! This tool was developed as part of an internship project at Accenture to analyze knowledge graphs constructed from technology news articles. The aim is to uncover insights about technology products, platforms, services, and their impact across various industries. By extracting meaningful information and trends, the tool helps inform decision-making in the tech landscape.

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Features

• Knowledge Graph Analysis: Process and analyze structured data derived from technology news articles.
• Trend Identification: Extract patterns and trends about technology products and their influence across industries.
• Industry Impact Insights: Provide insights into how technologies affect different sectors.
• Visualization Tools: Generate graphs and charts to visualize trends and relationships within the knowledge graph.

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Installation

1. Clone the repository:

   git clone https://github.com/yourusername/tech-insights-analyzer.git
   cd tech-insights-analyzer

2. Install dependencies:

   pip install -r requirements.txt

3. Ensure you have Jupyter Notebook installed:

   pip install notebook

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Usage

1. Run the Jupyter Notebook:

   jupyter notebook

   Open the Tech_News_Sum_ML.ipynb file in your browser.

2. Load Your Data: Follow the instructions in the notebook to load the dataset of technology news articles and construct the knowledge graph.

3. Analyze the Graph: Use the provided tools to uncover insights, visualize trends, and generate reports.

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Dataset

This tool processes technology news datasets containing:

• Articles related to technology products, platforms, and services.
• Metadata such as publication date, source, and tags.

Ensure the dataset is structured appropriately before analysis. Example formats include JSON, CSV, or direct database connections.

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Example Output

• Trends: Identify growing technologies and their adoption in various industries.
• Industry Impact: Discover which sectors are most influenced by emerging technologies.
• Product Insights: Uncover patterns related to specific technology products or services.

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Contributing

We welcome contributions to enhance the tool! To contribute:

1. Fork this repository.
2. Create a new branch for your feature or fix.
3. Submit a pull request with a clear description of your changes.

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License

This project is licensed under the Accenture License.

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Team Members

• Janae Perez
• Zen Edwards
• Phuong Ngyuen
• Lillian Tran
• Wanru Shao

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Acknowledgments

This project was developed during an internship at Accenture. Thank you to my mentors and team members for their guidance and support throughout the development process!