Analyze Book Text for Characters
Overview
Unlock deeper insights into your book's narrative by analyzing character development. This feature helps you understand how your characters evolve throughout the story, from their initial introduction to their final arc.
By leveraging advanced AI, you can automatically identify key characters, track their emotional journey, and even gain a clearer picture of their personality based on their dialogue. This allows for a more nuanced and data-driven approach to character analysis.
How It Works
You can upload your book text or individual chapters. The system then uses Named Entity Recognition (NER) to identify characters and Sentiment Analysis to gauge their emotional state across the narrative.
Getting Started
To access this feature, go to Dashboard β Upload in your dashboard.
Analysis Steps
Follow these steps to analyze your book's characters:
Entity Extraction: Navigate to "Explore" β "People". Here you can see which characters appear most frequently, helping you distinguish between Main and Side characters.
Sentiment Arc: Filter the analysis by "Character Name" to view the sentiment of sentences that mention them. Observe if their sentiment shifts from Negative (indicating conflict) to Positive (indicating resolution).
Magic Prompts: Ask specific questions like: "Describe the personality traits of [Character Name] based on their dialogue."
Related Prompts/Features
Named Entity Recognition
Sentiment Graphs
Pro Tips
Use the "Word Cloud" feature for a specific character to quickly identify their most common vocabulary or recurring themes.
Troubleshooting
File Size: If your book is 500+ pages, it's recommended to upload it in chapters to avoid potential token limits.
Next Steps
Ready to get started? Here's what to do next:
Login to your account and navigate to Explore β People
Upload your book text or chapters to begin analysis
Explore the character insights to understand their arcs and traits
Need help? Contact our support team or check out our other guides.
