pdf-section-sentiment 0.1.5

Extract sections from PDFs and perform sentiment analysis

PDF Section Sentiment

A lightweight CLI tool to extract structured sections from PDFs and perform sentiment analysis on each section.

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🚀 Features

• Extracts headers and sections from PDFs
• Supports Markdown-like structure
• Performs sentiment scoring (-1 to +1)
• Labels sentiment as positive, neutral, or negative
• Outputs clean JSON

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📦 Installation

pip install pdf-section-sentiment

## ⚙️ Usage
pdf-extract --input path/to/document.pdf --output sections.json
pdf-sentiment --input sections.json --output sentiment.json

## 📝 Output Format
[
  {
    "header": "Executive Summary",
    "content": "Lyft reported strong revenue growth and operational efficiency...",
    "sentiment_score": 0.28,
    "sentiment": "positive"
  },
  {
    "header": "Risk Factors",
    "content": "There is uncertainty in market regulation...",
    "sentiment_score": -0.15,
    "sentiment": "negative"
  }
]

## 🧪 Example
pdf-extract --input data/Lyft-Annual.pdf --output output/sections.json
pdf-sentiment --input output/sections.json --output output/sentiment.json