https://github.com/naveen3830/splashtop_analysis

This repository contains the code for my webapp splashtop website analysis.
https://github.com/naveen3830/splashtop_analysis

nlp-keywords-extraction python spacy streamlit

Last synced: about 2 months ago
JSON representation

This repository contains the code for my webapp splashtop website analysis.

• Host: GitHub
• URL: https://github.com/naveen3830/splashtop_analysis
• Owner: naveen3830
• Created: 2024-10-13T17:58:41.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-10-18T07:04:58.000Z (3 months ago)
• Last Synced: 2024-10-19T11:19:45.867Z (3 months ago)
• Topics: nlp-keywords-extraction, python, spacy, streamlit
• Language: Jupyter Notebook
• Homepage: https://splashtopanalysis.streamlit.app/
• Size: 523 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
Splashtop Content Analysis Web Application

🌐 Website: Splashtop Content Analysis Web App




ℹ️ This repository contains the code for a web application that analyzes content coverage around the phrase "Remote Access" for the website www.splashtop.com. It includes analysis of keyword variations, competitor content, and identification of gaps using Python, Streamlit, and data analysis libraries.




  


Data: Contains datasets used for content analysis, including scraped data from Splashtop and competitor websites.

  


app.py: Main Python script that runs the Streamlit web application.

  


competitor.py: Script to analyze competitors and their content gaps.

  


home.py: Defines the home page layout and introduction for the analysis.

  


issues.py: Code to identify potential issues or missing keywords in the content.

  


requirements.txt: Lists the required Python packages to run the web application.

  


README.md: You’re reading it right now! Provides information about the project and its files.





🚀 Getting Started



  
Clone this repository: 
git clone https://github.com/naveen3830/splashtop_analysis



  
Install the required packages: 
pip install -r requirements.txt



  
Run the web application: 
streamlit run app.py







🔗 Links



  


Streamlit: Framework used for building and deploying the web application.

  


Plotly: Visualization library used for creating interactive charts and graphs.

  


Screaming Frog: Tool used for scraping content from Splashtop and competitors.





📝 Note



  
Feel free to explore and analyze the content data or adjust the scripts for custom analysis.

  
You can replace or add new datasets in the Data directory to extend the analysis.





📧 Contact

For any inquiries or feedback, please contact: [email protected]