How 360-2020 is smarter and more spot on than Facebook’s sentiment engine and Hunch
Yesterday I pointed out to readers the importance of getting the “positioning matrix” spot on, using the Foreign & Commonwealth Office’s memo for the Papal visit this forthcoming September as an example of a poorly thought out and mistake laden one. There are a few key tenets in business and politics alike which affect their long-term success, or otherwise:
(1.) Know your clients and service their needs;
(2.) Know your competitors and provide products/services better than them; and
(3.) Know your own company, where you want to get to (when, how and who with), and adapt to changing market conditions.
When I originally had the idea for 360-2020 it was because I was swamped with volumes of material (transaction documents, consultancy reports, analysts research, media commentary, emails etc.) in my professional life and there wasn’t any way of tagging and sorting that material into relevance and priority by color-coding it or designating it with adjectives, a timestamp and a quantitative mark that MADE SENSE TO ME.
So………in many ways 360-2020 is a tool borne from my need as a regular person/client who needs such a tool, it doesn’t exist so I have to code and develop it myself.
It’s valid to say that: 360-2020 may be one of the few truly original ideas in the world. This is because I did look beyond my own internal need and started to do some competitive analysis on whether the likes of Reuters / Bloomberg / Google Finance / Facebook and also niche analytical providers had the type of filtering and tagging tool I had in mind. What I realized was that they all filtered and tagged according to noun structures (name of company, person’s name, location etc.) and 5-star and/or -1/0/+1 systems which is………..
PRETTY MUCH THE SAME AS WHAT THE SEMANTIC WEB STACK AND SEARCH/RECOMMENDATION ENGINES DO.
Ergo, in real terms there hasn’t been that much of a step change forward as far as my experiences are concerned.
Now I’ve been aware of the 5 star system and colors since I was in nursery school because we had wall charts on which the teachers would stick different colored stars according to how well we performed and behaved in our tasks in class. This partially explains why I regard the 5-star system as suitable for babies but less smart to use for intelligent and articulate adults who have a much more extensive grasp of vocabulary, color recognition, quantification scales, intent, contexualization of connected relationships and time intertwining than babies do.
Moreover, anyone who’s been subjected to a professional performance review of any kind appreciates that assessing someone or something is a lot more complex than just giving them N stars out of five. Ditto for product reviews for a wide range of products (from iPads to sofas to clothing).
Anyway, the interest in the FCO’s positioning matrix is not a random and unrelated anomaly on my part. Actually I’ve been comparing the 360-2020 tools and their strategies to see how they stack up against where Facebook, Hunch, Google and Twitter are now and where they’re heading and I can say this:
360-2020’s competitors are still basing their sentiment analysis around -1/0/+1 (No/Yes) and 5 star rating principles whereas 360-2020 makes a leap of coherent imagination towards capturing information as “a consciousness of quantity and quality that enables differentiation and contextualization over time.”
Just look at Facebook’s sentiment approach and Hunch’s and it’s clear that 5-star and -1/0/+1 are still in play in designating positivity and negativity — just arranged differently visually on the page but functionally still the same. Sentiment and recommendations predicated along these lines are still open to flaws and lack of precision when it comes to capturing ambiguity, neutralities, underlying perceptions and values, intent and maybes.
The algorithm’s behind them are still……….not as smart or as person-specific or as granular or as holistic as what 360-2020 aims towards. Here’s what Andrew Keen, author of The Cult of the Amateur, says about Hunch and the tech sector’s attempts to understand online intent:
Divining intent has always been the Holy Grail of academics, doctors, marketers, and snake-oil salesmen. At the beginning of the 20th century, Sigmund Freud founded the school of psychoanalysis, a science of intentionality based on interpretation of dreams. And today, 100 years later, a new generation of quacks has founded a school of crowd-sourced intentionality.
The problem with Hunch is that it treats me as a crass consumer rather than as a complex human being. Web 2.0 algorithms might succeed at building search engines that are, at best, 50 percent accurate. As such, Hunch represents the intellectual bankruptcy of the Silicon Valley revolution that has attempted to replace real human expertise and knowledge with bad algorithms and even worse user-generated content.
There are ways to make the algorithms smarter whilst simultaneously complementing human complexity (particularly in linguistic, emotional and psychometric capture terms).
It’s just that Facebook, Hunch et al haven’t thought of these ways yet……whilst 360-2020 already does.
Tags: -1/0/+1, 5 star rating system, Andrew Keen, Cult of the Amateur, Facebook, Google sentiment engine, Hunch




