When it comes to extracting content from social media feeds, the majority of social media monitoring or listening systems in the market are doing the same thing - using a set of keywords the user believes will lead the system to the content they want. The problem with this approach is two-fold. Not only does a single search lead to a lot of data noise, but by definition, a system using keywords the user provides will not find content using language the user is not familiar with.
That’s why at Eyesover we take a dual approach to our content gathering. We use two levels of search terms and we use artificial intelligence (AI). Here's why they work well together and what they do for you.
To filter the good stuff from the noise is a big job for one layer of keywords. We use an outer layer of search terms that give us a wide selection of content, and a second, more specific layer of search terms to find the content from the discussions about your areas of interest
Within that framework is where our AI operates. From just a few keywords for the topics you are interested in, the Eyesover system gets the idea of what you are looking for and then automatically finds and starts to use new keywords in order to find new content discussing the topics you want to know about. Once this process is started, the system constantly learns from what it previously learned.
How do we know this works? As one would expect, at the beginning, our system adds many new search terms every hour, the content they find filling in any gaps the initial search terms left. Many times this can more than double the amount of content found. As the system quickly matures, the keyword discovery tends to focus on uncovering the changing or emerging issues of interest to the user indicating the system has filled in the gaps in the ongoing conversations.
What does this mean for our customers? Ease of use and accuracy. You don't have to spend any time fine tuning as the AI takes over that task and objectively finds the more specialized or local issues you may be interested in.
It all leads to more and better data that can help your decision-making.