Over the next few days we'll be adding a new page to eyesover.com called "Issue Watch" where we will be monitoring events so you can see the Eyesover system working in real time.
If you go through the Blog archives, you'll know we enjoy monitoring political races since the massive number of online comments and variety of issues puts the Eyesover system through a great workout. As a result, first up on Issue Watch will be the US Presidential election. We'll be monitoring all four candidates based on the number of mentions and the sentiment within those mentions in order to calculate our support index.
As the system has been collecting data over the past week, some very interesting results are already appearing, none more surprising than the strength of the Libertarian and Green candidates.
As you can see, while polls place Johnson and Stein at approximately 10 and 5 percent respectively, based on our analysis, the online discussion of these two candidates and the positive sentiment within those discussions gives them a combined 25% of the overall support. A continuation of this trend would have a seismic effect on the race.
Our sentiment analysis indicates that reports of dissatisfaction with Trump and Clinton are accurate meaning many individuals find both candidates unacceptable. Enter Johnson and Stein, two candidates whose timing could not be better. They are clearly becoming the benefactors of the negativity towards the two main party candidates. What will be interesting to determine is whether this is a mere blip in support or if there will be a sustained move away from the Republican and Democratic candidates.
Eyesover received a nice mention by Jon Litwack of National Public Relations in his blog post "My 4 Biggest Requirements for Social Analysis Platforms in Canada today". Needless to say, we truly respect his wisdom and expertise!
Forecasting - This is emerging as a requirement for me now that I've been playing with one of Canada's newest social listening platforms - http://eyesover.com. I want to know how a particular topic is trending, where it's picking up steam, and why. One really interesting thing that piqued my interest about this particular platform is that it uses its own form of AI to identify emerging keywords that I wouldn't have thought of on my own based on the overall conversation I'm interested in.
Eyesover was developed from the concept that topical issues are being discussed online long before they make the news. Yes, we report on brand or product mentions, but where Eyesover shines is when we go beyond these basic searches to look for the discussions about key issues that can impact your entire industry or sector as well.
The challenge, however, has always been that when monitoring issues that can cross multiple industries or sectors, large amounts of unusable data, or noise, often populates the output. In fact, one of the most common complaints social media monitoring software customers have is the length of time it takes to sort through their system’s output to find the data that is meaningful – and that is only when performing basic keywords searches on brand or company names. The issue becomes magnified when monitoring issues are more general in nature.
Eyesover solves this problem by using multiple search and filtering processes to eliminate the noise when monitoring broad issues, and allow customers to receive only the relevant output they need from their social media monitoring system. While monitoring your issues and topics, the Eyesover system breaks down the internet into smaller and smaller datasets, removing noise as we go, so the final results are data that is highly relevant and noise-free.
We understand that our customer’s time is incredibly valuable and that is why a major preoccupation at Eyesover is ensuring our system is not only easy to use, but also delivers only the important data you need to help make decisions in your business quickly and efficiently.