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📊

Advanced Text Analytics

Comprehensive text analysis providing sentiment analysis, readability scores, keyword extraction, entity recognition, language detection, tone analysis, and detailed content statistics.

Quick Examples

About Text Analytics

📊 Analysis Features
• Sentiment analysis with emotion detection
• Readability scores (Flesch-Kincaid, etc.)
• Keyword extraction and topic analysis
• Entity recognition (names, emails, etc.)
• Language detection and tone analysis

Text to Analyze

Syntax: text

Output

Output will appear here

How It Works

Input Your Data

Paste, type, or upload your data directly into the advanced text analytics. All processing happens locally in your browser for complete privacy and security.

Configure Options

Customize the tool settings to match your specific needs. Real-time processing with instant validation and error detection.

Process Instantly

Click the process button or enable auto-processing for real-time results. Lightning-fast performance with immediate feedback and validation.

Export Results

Copy results to clipboard, download as files, or share with others. Multiple export formats available for maximum compatibility.

Frequently Asked Questions

What types of text analysis are included?
The tool provides comprehensive analysis including basic statistics, sentiment analysis, readability scores, keyword extraction, entity recognition, language detection, tone analysis, and writing style assessment.
How accurate is the sentiment analysis?
Sentiment analysis uses multiple indicators and provides confidence scores. Accuracy varies with text length and complexity, with longer texts generally yielding more reliable results.
What readability metrics are calculated?
Includes Flesch-Kincaid Grade Level, Flesch Reading Ease, Gunning Fog Index, Coleman-Liau Index, and Automated Readability Index for comprehensive readability assessment.
Can it detect different languages?
Yes, the tool includes language detection with confidence scoring and can identify various writing systems including Latin, Cyrillic, Arabic, Chinese, and Japanese characters.
What entities can be extracted from text?
Extracts people names, organizations, locations, dates, numbers, URLs, email addresses, phone numbers, and other structured data from the input text.

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