Find a text mining project or tutorial online. Attempt to map the process described in sections 20.2 through 20.5 of our text to the text mining project. Describe what this text mining project did at each step. Analyze the similarities and differences between the textbook process and the process followed by your project. Describe at least two benefits of following an established process.

Discuss similarities and differences in the text mining processes mapped by your peers. What can we learn about the text mining process from these similarities and differences?

Your discussion must address the following items:

–  Description and purpose of the project, the organization and/or person behind the project, and the URL.

–  List of the steps from sections 20.2 through 20.5 of our text with a description of what this project did at each step.

–  Analysis of the similarities and differences between the textbook process and the process followed by the project you chose.

• –  Description of at least two benefits of following an established process.
• –  Please do not duplicate the projects that others in this thread have already presented in their posts.
• –  Support your post with the information and concepts from the class reading materials from this module.
• –  Support your post with at least one scholarly source beyond the materials provided in this module.

Useful resources:

• Chapters 19 & 20 in Data Mining for Business Analytics
• Monkman, G., Kaiser, M., & Hyder, K. (2018). Text and data mining of social media to map wildlife recreation activity. Biological Conservation, 228, 89-99.  
• Poulson, B. (2019). Scraping data. Data science foundations: Fundamentals . Linkedin Learning. https://www.linkedin.com/learning/data-science-foundations-fundamentals/scraping?u=2245842&auth=true