Semantic Macro Profiler

This case study demonstrates how Ascoos OS can orchestrate macro execution using semantic analysis, DSL scripting, NLP, and AI prediction. The system analyzes editorial content, detects sentiment and topic, translates DSL into macros, and executes them based on neural network scoring.

Purpose

• Analyze editorial content using NLP
• Predict macro execution using AI
• Translate DSL into AST and execute macros
• Visualize semantic scores and store results

Core Ascoos OS Classes

• TLanguageProcessingAIHandler NLP sentiment and concept detection
• TNeuralNetworkHandler Neural network compilation, training, and prediction
• AbstractDslAstBuilder DSL parsing and AST generation
• AstMacroTranslator Macro translation and execution logic
• TChartsHandler Semantic graph generation
• TFilesHandler JSON report creation and file management
• TEventHandler Macro event logging
• TErrorMessageHandler Error handling and multilingual messaging

File Structure

The implementation resides in a single PHP file: - semantic_macro_profiler.php

It includes all logic: NLP analysis, AI prediction, DSL parsing, macro execution, and reporting.

Requirements

1. PHP ? 8.2
2. Installed Ascoos OS or AWES 26

Execution Flow

1. Define DSL macro script with semantic conditions.
2. Analyze editorial content using NLP: - Detect sentiment (positive, neutral, negative) - Extract activated concepts
3. Compile and train neural network: - Input: 3 ? Hidden: 4 (ReLU) - Hidden: 4 ? Output: 1 (Sigmoid)
4. Predict macro execution score.
5. If score > 0.5, execute macro.
6. Generate semantic graph and save JSON report.

Code Example

$sentiment = $nlp->naiveBayesSentiment($text);
$concepts  = $nlp->conceptActivationVector([...], [$text]);

$ai->compile([...]);
$ai->fit([...], [...], epochs: 500, lr: 0.01);
$score = $ai->predictNetwork([[...]])[0];

if ($score > 0.5) {
    $macroContainer->executeIfTrue();
}

Expected Output

If prediction is high:

Executing macro: audit_macro

Otherwise:

Macro skipped due to low AI score

Resources

• Ascoos OS Documentation
• Official Ascoos OS Website
• AWES Studio
• GitHub Repository

Contribution

You may extend the macro logic, integrate additional semantic triggers, or improve the AI model. See CONTRIBUTING.md for guidelines.

License

This case study is covered under the Ascoos General License (AGL). See LICENSE.md.