- Could the model be applied to other commodities? Our preliminary investigation on chilly prices yielded some intriguing results (more details to come about this in a follow up blog post)
- What about regional price variation? Assuming we could geo-locate a sufficient amount of tweets, could we pick up sufficient signal to investigate regional variations in prices?
- How does this methodology compare with other approaches to enhancing the price collection data process through big data? (most notably, web crawling as in the MIT Billion prices project?)
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