Analyze AI Sentiments is a Drupal module by DXPR that measures tone, objectivity, reading level, and audience fit across your Drupal content using AI. An Analyze plugin built by DXPR.

Getting Started | Pricing | Try Free Demo

AI Sentiments Analysis: Multi-Dimensional Trust, Tone, and Readability Scoring for Drupal

AI-powered multi-dimensional text analysis measuring trust, objectivity, audience targeting, and reading levels.

Features

• Four Analysis Dimensions: Trust & Credibility, Objectivity & Bias, Audience Vibe Check, CEFR Reading Level
• Flexible Configuration: Add, remove, reorder sentiments dimensions via UI
• Content Type Control: Enable/disable specific analysis types per content type
• Visual Feedback: Gauge displays with clear progression indicators
• Analyze Framework Integration: Consistent reporting across analysis tools

Requirements

• Analyze framework
• AI module with configured provider

Installation

composer require drupal/analyze_ai_sentiments
drush en analyze_ai_sentiments

Configuration

Basic Setup

1. Configure AI provider at /admin/config/ai/providers
2. Configure sentiments dimensions at /admin/config/analyze/sentiments
3. Enable per content type at /admin/config/content/analyze-settings
4. Configure permissions at /admin/people/permissions#module-analyze_ai_sentiments

Content Type Configuration

Two configuration methods:

Per Content Type Settings

• Go to /admin/structure/types/manage/{content-type}
• Find "Sentiments Analysis" vertical tab
• Enable/disable specific sentiments for this content type

Global Analyze Settings

• Go to /admin/config/content/analyze-settings
• Find "AI Sentiments Analysis" section
• Enable/disable analyzer for specific content types

Analysis Dimensions

Trust & Credibility

Measures how authoritative vs promotional the content appears.

Objectivity & Bias

Evaluates balance between opinion-based and fact-based content.

Audience Vibe Check

Identifies generational targeting (Gen Z to Boomer).

CEFR Reading Level

Assesses language proficiency requirements (A1 Beginner to C2 Proficient).

Display

Results shown as gauges with:

• Clear progression indicators
• Relevant min/mid/max labels for each dimension
• Simple visual assessment for quick content evaluation

AI Coding Assistant Integration

The Sentiments module includes a built-in Agent Skills file (via the base Analyze module) that teaches AI coding assistants how to run sentiment analysis through natural language. Run drush analyze:setup-ai to enable, then ask naturally:

"Run sentiment analysis on all articles"
"Check the trust and objectivity scores for the homepage"
"Analyze reading level across all blog posts"
"Run sentiment and brand voice analysis together"

Batch processing is available via the centralized Analyze batch system:

# Check analysis coverage
drush analyze:batch --status

# Run this analyzer on all enabled content types
drush analyze:batch \
  --analyzers=analyze_ai_sentiments_analyzer

# Run on specific content types with limit
drush analyze:batch \
  --analyzers=analyze_ai_sentiments_analyzer \
  --types=node:article --limit=50

# Force re-analysis of already analyzed content
drush analyze:batch \
  --analyzers=analyze_ai_sentiments_analyzer --force

Compatible with Claude Code, Codex CLI, Gemini CLI, GitHub Copilot, Cursor, and other tools supporting the Agent Skills standard.

Development

Docker Commands

# Lint code
docker compose run --rm drupal-lint

# Check deprecations
docker compose run --rm drupal-check

# Auto-fix issues
docker compose run --rm drupal-lint-auto-fix

Pre-commit Hooks

Install with ./scripts/setup-hooks.sh:

• Automatically runs drupal-lint-auto-fix on commits
• Blocks commits with unfixable lint issues
• Ensures consistent code quality

To bypass in emergencies:

git commit --no-verify -m "emergency commit"

Related Modules

• Analyze - Required. Provides the plugin framework, Analyze tab, and batch processing this module extends
• AI - Required. Supplies the LLM provider used for scoring sentiment dimensions
• Views Color Scales - Required. Renders color-coded sentiment score columns in the Views report
• AI Content Marketing Audit - Sibling Analyze plugin that scores marketing effectiveness
• AI Content Security Audit - Sibling Analyze plugin that detects PII and credential leaks
• Analyze Broken Links - Sibling Analyze plugin that checks link health without AI