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The following is a rundown of the dataset analyzed:
- collection of blogs and forums (did not include Twitter)
- significant amount of spam filtering performed by our algorithm
- Walmart data set = 44,494 posts total, averaging about 800 per day
- Target data set = 27,258 posts total, averaging about 525 per day
All data analyzed related to content relevant to the topic of consumer perceptions of Walmart and Target. For example, content including passing mentions of brands, commercial posts (coupons, ads), advertisements and use of words not related to brand (target meaning the direction of aim) were filtered out by our algorithm.
Hope this helps!
Great insights into your data set. This helps to ground our understanding even more. Thanks!