NLP: Value Greater than just Positive and Negative Sentiment.

Data Science, Public Affairs and Communications, Uncategorized 1 Minute

Positive (P) and negative (N) sentiment are just transmitting two results based on many other variables. This in itself contains little knowledge. For creating strategy, it can only bench mark after the fact.

Inherently the use of data is to make better decisions for the future. Production is expensive and time consuming. So is deductive reasoning.  The main goals should be to move away from adjusting to the end reaction and migrate to a predictive model. Look at the context in higher resolution i.e. control for  variables which lead to PN sentiment.

Here are some suggestions

  • Time of day
  • Medium (Twitter,Facebook ,Blogs, Mainstream news)
  • Comments PN sentiment
  • New dissemination to comment count (time, PN)

If you are advanced, use NLP tools that allow for custom taxonomies – within the NLP,  to create rules on varibels like types of framing. On a medium level this is very good at prediction, but more on that later.

Ciao

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Published by Chandler T Wilson

Do to fundamental market shifts; organizations now find themselves operating within increased volatility, uncertainty, complexity, and ambiguity (VUCA). As a result, there are fewer markets with unknown opportunities and places to hide during market turbulence. Business, both big and small, will need to shift their thinking on what work, strategy, and creativity are. The majority of processes deployed at organizations are superficial and lead to a marginal compared, if any, competitive advantage, or built on assumptions that are no longer relevant or accurate. At Walmart, I work on machine intelligence to optimize corporate strategy and business processes for the VUCA age. By analyzing market trends and strategic frameworks with machine intelligence and algorithms, I've come to the conclusion that competitive advantage lay in the embrace of complexity, faster information to action times, and the unorthodox, as well as being agnostic to how an entity makes money or reacts to markets - especially for asset-rich businesses. This site is meant to house some of my research and thinking in the above areas. The views and comments expressed here are my own and do not represent companies I have worked for or with.

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