The Enhanced Text Rhythm Analyzer is a Python-based tool designed to analyze the rhythmic structure and prosodic features of a given text. It uses various natural language processing (NLP) techniques to identify syllable counts, stress patterns, natural and unnatural pauses, prosodic phrasing, and fluency/disfluency patterns in the text. The tool also provides visualization capabilities to better understand the rhythmic and prosodic characteristics of the analyzed text.
| Feature | Description |
|---|---|
| Syllable Counting | Counts the number of syllables in each word using CMU Pronouncing Dictionary and fallback methods. |
| Stress Pattern Detection | Identifies stress patterns (e.g., iambic, trochaic) for each word and aggregates for full text. |
| Meter Identification | Detects poetic meter based on identified stress patterns. |
| Prosody Analysis | Analyzes phrase breaks, prosodic phrasing, and fluency/disfluency patterns. |
| Sentence and Line Length Analysis | Provides statistical analysis of sentence and line lengths. |
| Visualization | Visualizes syllable counts, stress patterns, and sentence/line length distributions using Plotly. |
| Caching Mechanism | Uses a caching mechanism to store syllable counts for faster processing of repeated words. |
| Export Analysis | Allows exporting of analysis results to CSV and visualizations to image files or HTML. |
To run the Enhanced Text Rhythm Analyzer, you'll need the following Python libraries:
pip install nltk spacy plotly kaleido pandas
python -m spacy download en_core_web_sm
python -m nltk.downloader cmudict punkt- Clone the Repository
git clone https://github.com/NathanCordeiro/Text-Rhythm-Analyzer.git cd Text-Rhythm-Analyzer - Run the Script
python Text-Rhythm-Analyzer.py - Analyze Custom Text
sample_text = """ Your custom text here. """ analyzer.analyze_and_export(sample_text)
