For social media projects, the particulars of this workflow process look like this:
- Specify topics to analyze: You specify the keywords to include, plus you can also exclude keywords and define context keywords. Use suggestions that we provide to get more ideas about keywords.
- Specify the date range: By default, the last four weeks are searched and analyzed.
- Specify the types of sources that you want to retrieve documents from: Sources that are available include forums, reviews, Facebook pages, Reddit pages, video descriptions and comments, blogs, and news.
- Review the suggestions for your topics, because new suggestions might appear after you specify the date range and sources: Optionally, define themes to provide more clarity in the analysis.
- Identify or create a dataset to retrieve documents that match the criteria that you specified: Watson Analytics for Social Media retrieves the documents, analyzes them, creates visualizations, and creates a dataset. View the visualizations that Watson Analytics for Social Media creates for you.
In this chapter, we will assume that a not-for-profit organization is interested in providing insights on the general sentiment of Amazon's customer service levels. Basically, what is being said about the Amazon customer service experience?
If you aren't sure what Amazon is (really?), then Amazon is an American electronic commerce and cloud computing company based in Seattle, Washington that was founded by Jeff Bezos on July 5, 1994. The tech giant is the largest internet retailer in the world as measured by revenue and market capitalization, and second largest after the Alibaba Group in terms of total sales.