Artificial intelligence is changing the way we deal with user generated content. Sentiment analysis, or the automatic recognition of whether a comment or review or article is positive, negative, or neutral can be considered one of the most powerful applications.
In this tutorial, we are going to develop a basic Joomla content plug-in that is linked to the Open AI API. Each time an article or comment is saved the text will be processed by our plugin and the sentiment will be shown in Joomla where it belongs in the admin.
This can be considered an excellent representation of a merge between AI and the classic PHP CMS systems, such as Joomla.
What You’ll Need
Before we start, make sure you have:
- Joomla 5.x installed
- PHP 8.1 or newer
- cURL enabled on your server
- An OpenAI API key
Once that’s ready, let’s code.
Step 1: Creation of the Plugin
In your Joomala system, make a new folder within the system under the name of the plugin:
/plugins/content/aisentiment/
Thereupon in that folder generate two files:
- aisentiment.php
- aisentiment.xml
aisentiment.xml
This is the manifest file that the Joomla plugin identifies the identity of this particular plugin and the files that should be loaded into it.
<?xml version="1.0" encoding="utf-8"?><extension type="plugin" version="5.0" group="content" method="upgrade">
<name>plg_content_aisentiment</name>
<author>PHP CMS Framework</author>
<version>1.0.0</version>
<description>Analyze sentiment of comments or articles using OpenAI API.</description>
<files>
<filename plugin="aisentiment">aisentiment.php</filename>
</files>
</extension>
Step 2: Add the PHP Logic
Now let’s write the plugin code.
aisentiment.php
Step 3:Install and activate the Plugin.
Step 4: Test It
This product is out of my expectations and it works excellently!
Bonus Tips:
- Store your API key securely in Joomla’s configuration or an environment variable (not hard-coded).
- Add caching if you’re analyzing large volumes of content.
- Trim long text before sending to OpenAI to save API tokens.
- Handle failed API calls gracefully with proper fallbacks.
Real-World Use Cases:
- Highlight positive user reviews automatically.
- Flag negative feedback for moderation.
- Generate sentiment dashboards for community comments.
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