Leo Babauta Pdf ^new^ -

These are extracted directly from the PDF content.

| Feature Category | Example Deep Features for Leo Babauta PDF | |----------------|---------------------------------------------| | | Average sentence length (short: ~10-15 words), frequent use of “you,” “simple,” “less,” “focus,” “habit” | | Structural Markers | Number of bullet lists / checklists, presence of “Zen” headings, numbered steps (e.g., “1. Do one task at a time”) | | Readability | Flesch-Kincaid Grade Level (typically 6th–8th grade for Babauta), high personal pronoun density | | Lexical Themes | TF-IDF top terms: habit, distraction, mindfulness, clutter, daily routine, procrastination, gratitude | 2. Semantic & Conceptual Features (Deep) Use a small language model or keyword mapping to extract conceptual depth. leo babauta pdf

scores = k: sum(text.lower().count(w) for w in words) for k, words in concepts.items() These are extracted directly from the PDF content