The way people feel while navigating your website and reading your content is difficult to quantify. However, it’s something you need to understand if you want to truly engage your audience. This means you might want to learn how to use machine learning in WordPress to analyze your content’s impact.
In this article, we’re going to talk about how machine learning in WordPress may change the way you approach content creation. Then, we’ll introduce you to a tool that will help you analyze the emotional impact of your articles. Let’s get in touch with our feelings!
There are already a few WordPress applications available to the public that are based on machine learning. For example, there’s WordLift, which enables you to build better taxonomies and find sources for your content.
Most machine learning applications are still very hit and miss, however.
That means it’s hard to predict how the technology will progress in the short term, and how it will impact content creation.
Machine learning in WordPress: An introduction to Watsonfinds
Watsonfinds is a service built on top of the IBM Watson system. Watson bills itself as a kind of AI, but to be more accurate it’s a sophisticated machine learning system with access to several terabytes of data, featuring the ability to analyze that data for specific purposes.
In this particular case, Watsonfinds can use its ‘knowledge’ to analyze any text in the WordPress editor and break it down into five emotions: joy, sadness, anger, disgust, and fear. Armed with that information, you can tweak your content until you’re targeting the exact sentiment you want (as long as it’s one or more of those five).
At this stage, you can go back to work on your content, and put your new tool for machine learning in WordPress into action!
Watsonfinds is a free plugin, but there’s a premium service in the works that will include more in-depth analysis.
How to analyze the emotional impact of your WordPress content using Watsonfinds
As we mentioned earlier, Watsonfinds focuses its analyses on five core emotions. In this section, we’re going to talk about each of them, and explain how you can use machine learning in WordPress to better connect with your users.
1. Sadness ☹️
No one wants to be sad, but it’s fair to say that in some cases, you may want to elicit strong negative emotions from your audience. The goal is not to play with their feelings, but to form an emotional bond with them. To illustrate that point, here’s a short paragraph from one of our recent articles that Watsonfinds deemed ‘sad’:
On the other hand, if you’re writing an article and you just jump right into the reveal, it’s often not as engaging. Notice our use of phrases such as “drains our motivation” and “lack of growth”. If you take those out, the sadness score decreases sharply:
However, Watsonfinds still manages to understand that the first part of the paragraph isn’t positive. That’s impressive when it comes to machine learning in WordPress.
2. Joy 😄
You’d be hard-pressed to find someone who doesn’t enjoy feeling happy, which makes this emotion an easy sell in your content. Let’s see how Watsonfinds fares, with a small excerpt from our recent article on themes that work great with site builders:
Without further ado, take a look at these beautiful designs, pick your favorite one, and start customizing your site with a builder of choice right away.
After having played around with machine learning in WordPress, we’ve found that a score of over 60% is pretty strong for any given emotion. It means that feeling is clearly predominant, but not so much that you’re beating readers over the head with it. Overall, Watsonfinds is especially adept at identifying ‘happy’ paragraphs, which is great if you want to make sure your content is hitting the mark.
3. Disgust 🤮
So far, we’ve talked about two rather straightforward emotions. Now it’s time to look into a more complex one – disgust. From a storytelling perspective, disgust doesn’t have as many applications as joy or sadness, but it can still come in handy. Here’s an example of a Salman Rushdie quote that Watsonfinds found predominantly ‘disgusting’:
4. Fear 😨
To keep our trend of negative emotions going, let’s talk about fear. It’s not something you want to overuse, but it can be a handy tool when use intelligently in writing and marketing (FOMO, anyone?). Here’s an example of an excerpt from a recent article about secure WordPress themes:
The key when it comes to eliciting fear is talking about adverse outcomes and how they can negatively affect your readers. If you can tap into the things they’re scared off, you’ll have an easier time engaging them with solutions.
5. Anger 😠
Last but not least, let’s talk about anger. To be honest, anger is rarely one of the emotions we try to elicit from readers when writing articles. Anger is a tricky tool, which can help you connect with your audience but can also alienate them. Let’s create a short example of a WordPress theme review, and see what Watsonfinds has to say:
In our experience, if you’re angry about the same things as your audience, you can use that to form a connection, but it’s not a sustainable emotion. As far as your content is concerned, emotions like sadness, fear, and joy are easier to quantify and to get right when using machine learning in WordPress.
If you can make your readers feel something, you can engage with them and build trust more easily. Watsonfinds helps you analyze the emotional impact of your content, and as far as we’re concerned, it does a decent job. It doesn’t tell you what to change, but it does signal if you’re targeting one of the core emotions correctly.
Let’s break down how each of those five emotions can affect your content:
- Sadness: Sad feelings can make your audience feel closer to you.
- Joy: Happy readers are the best kind of audience, and Watsonfinds is excellent at identifying positive content.
- Disgust: This emotion is a bit tricky, but can help you bond with readers over shared distastes.
- Fear: Despite its negative connotations, fear is a highly effective motivator for driving conversions.
- Anger: This emotion can, in some cases, help you bond with readers (although we think it’s best to avoid it in most cases).
What do you think about the whole idea of incorporating machine learning in WordPress and your content creation processes? Have you heard of any other interesting implementations of the idea?
Don’t forget to join our crash course on speeding up your WordPress site. With some simple fixes, you can reduce your loading time by even 50-80%:
Layout and presentation by Karol K.
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