A tool for analyzing book structure using NLP techniques. See the forest instead of the trees.

Story Inspector consists of the following components:

• An ETL Tool (Extraction, Transform, Load) that takes books in various formats (HTML, ePUB, PDF, etc.) as input and produces a StoryDOM (Document Object Model) file breaking down the book in its structural elements (parts, chapters, and paragraphs).

• An Annotation Engine that uses NLP to produce metadata from StoryDOM files, enriching the files with metadata annotations. Examples of metadata include:
  • Word Count
  • Characters
  • Locations
  • Sentiment Score
  • Emotion Score
  • Etc.
• A Visualization Tool for authors to interpret the results.
• A Web Visualization Tool is hosted at https://github.com/taciano-perez/story-inspector-web.

Note: Story Inspector is a work in progress, and not fully functional yet.

Limitations

• Story Inspector cannot analyze sentiment nor extract named entities (locations, characters) from sentences larges than 250 words.

* Logo image designed by macrovector / Freepik