Rehan Adil

MoodModerator is a powerful WordPress plugin that uses artificial intelligence to analyze the sentiment of comments on your website. It automatically detects the tone of comments (Friendly, Toxic, Sarcastic, Questioning, Angry, Neutral, etc.) and can automatically hold negative comments for moderation.
<h3>Key Features</h3>
<ul>
<li>AI-Powered Sentiment Analysis – Uses OpenAI’s GPT-4o-mini for accurate tone detection</li>
<li>Automatic Moderation – Hold negative comments for review based on configurable strictness levels</li>
<li>Hybrid Tone Approach – Combines predefined tones with AI-suggested new tones</li>
<li>Comprehensive Analytics – View sentiment breakdown by post and overall statistics</li>
<li>Dashboard Widget – 30-day sentiment summary right on your WordPress dashboard</li>
<li>Comments Table Integration – See tone badges directly in your Comments admin table</li>
<li>Posts Table Integration – View average sentiment for each post at a glance</li>
<li>Advanced Caching – Minimizes API costs by caching sentiment results</li>
<li>Detailed Logging – Track all API calls, errors, and moderation decisions</li>
<li>Configurable Strictness Levels:
<ul>
<li>Low – Only hold Toxic and Angry comments</li>
<li>Medium – Hold Toxic, Angry, and Sarcastic comments (Recommended)</li>
<li>High – Hold all except Friendly, Questioning, and Neutral</li>
<li>Custom – Choose specific tones to auto-hold</li>
</ul>
</li>
</ul>
<h3>How It Works</h3>
<ol>
<li>When a comment is submitted, MoodModerator sends it to OpenAI for analysis</li>
<li>The AI returns a tone classification and confidence score</li>
<li>Based on your strictness settings, the plugin decides whether to hold the comment</li>
<li>Sentiment data is saved and displayed throughout the WordPress admin</li>
<li>You can review held comments and make final moderation decisions</li>
</ol>
<h3>Requirements</h3>
<ul>
<li>WordPress 6.0 or higher</li>
<li>PHP 7.4 or higher</li>
<li>OpenAI API key (<a href="https://platform.openai.com/api-keys" rel="nofollow ugc">Get one here</a>)</li>
</ul>
<h3>Third-Party Services</h3>
This plugin connects to OpenAI to analyze comment sentiment.
Service: OpenAI API 
– Purpose: Analyze comment tone and return a sentiment classification. 
– Data sent: Comment text and (optionally) the post title for context. 
– When sent: On comment submission or when comments are re-analyzed. 
– Service URL: https://api.openai.com/v1/chat/completions 
– Terms of Service: https://openai.com/policies/terms-of-use 
– Privacy Policy: https://openai.com/policies/privacy-policy
<h3>Privacy Policy</h3>
MoodModerator sends comment text to OpenAI’s API for sentiment analysis. Please review <a href="https://openai.com/policies/privacy-policy" rel="nofollow ugc">OpenAI’s privacy policy</a> to understand how they handle data. Comment text is only sent for analysis purposes and is not stored by OpenAI beyond their standard retention policies.
The plugin does not collect any user data beyond what’s necessary for comment analysis (comment text and optional post title for context). Site owners should disclose this third-party processing in their privacy policy.
<h3>Support</h3>
For support, feature requests, or bug reports, please visit the <a href="https://wordpress.org/support/plugin/moodmoderator/" rel="ugc">plugin support forum</a> or https://rehanadil.dev.

MoodModerator – AI Comment Moderation & Sentiment Analysis

Automatically detect and moderate negative comments using AI. Keep your WordPress community positive with intelligent comment moderation.

Federico Andrioli

Auto approve comments by Commenter (email, name, url), User and Role (Akismet and wpDiscuz compatible).
Usage
<ol>
<li>Open Comments -> Auto Approve Comments</li>
<li>Go to Settings -> Discussion and check “Comment must be manually approved” </li>
<li>Optionally install and activate Akismet (comments flagged as SPAM will never get auto approved) </li>
<li>Configure your auto approval filters in “Commenters”, “Users” and “Roles”</li>
<li>Save and you’re done</li>
</ol>
From now on all the comments that match at least one of the configurations in “Commenters”, “Users” or “Roles” will always be auto approved.
Commenters – example
Add one Commenter per line, follow the example below:
<pre><code>tom@myface.com
tom@myface.com,Tom
tom@myface.com,www.myface.com
tom@myface.com,www.myface.com,Tom
tom@myface.com,Tom,www.myface.com
</code></pre>
Users – example
Add one Username per line, follow the example below:
<pre><code>steveknobs76
jeffmezos012
larrymage98
marktuckerberg2004
</code></pre>
Roles – example
Add one Role per line, follow the example below:
<pre><code>contributor
editor
yourcustomrole
subscriber
</code></pre>
Developers
Official Github repository: 
https://github.com/fedeandri/auto-approve-comments

Auto Approve Comments

Auto approve comments by Commenter (email, name, url), User and Role (Akismet and wpDiscuz compatible)

MoodModerator – AI Comment Moderation & Sentiment Analysis vs Auto Approve Comments